Implement Steady-State, Adiabatic, Cylindrical (by default) Plug-Flow Reactor & Add python example

This commit is contained in:
Nick Curtis 2019-02-28 19:05:06 -05:00 committed by Ingmar Schoegl
parent 5973dbd88b
commit 568cf48233
25 changed files with 2158 additions and 1399 deletions

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@ -2241,7 +2241,7 @@ if addInstallActions:
if env['system_sundials'] == 'y':
env['sundials_libs'] = ['sundials_cvodes', 'sundials_ida', 'sundials_nvecserial']
env['sundials_libs'] = ['sundials_cvodes', 'sundials_idas', 'sundials_nvecserial']
if env['use_lapack']:
if env.get('has_sundials_lapack'):
env['sundials_libs'].extend(('sundials_sunlinsollapackdense',

523
data/SiF4_NH3_mec.yaml Normal file
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@ -0,0 +1,523 @@
description: |-
nits(length='cm', time='s', quantity='mol', act_energy='cal/mol')
generator: cti2yaml
cantera-version: 3.0.0a5
date: Sun, 23 Apr 2023 21:03:15 -0400
input-files: [SiF4_NH3_mec.cti]
units: {length: cm, quantity: mol, activation-energy: cal/mol}
phases:
- name: SI3N4
thermo: ideal-surface
elements: [H, N, Si, F]
species: [HN_SIF(S), HN_NH2(S), F3SI_NH2(S), F2SINH(S), H2NFSINH(S), HN(FSINH)2(S)]
kinetics: surface
reactions: [SI3N4-reactions]
state:
T: 300.0
P: 1.01325e+05
adjacent-phases: [gas, SiBulk, NBulk]
site-density: 4.1683e-09
- name: gas
thermo: ideal-gas
elements: [H, N, Si, F]
species: [H2, H, N2, N, NH, NH2, NNH, N2H2, N2H3, N2H4, HF, F, SIF4, SIF3,
SIHF3, SIF3NH2, NH3]
kinetics: gas
reactions: [gas-reactions]
transport: mixture-averaged
state:
T: 300.0
P: 1.01325e+05
- name: SiBulk
thermo: fixed-stoichiometry
elements: [Si]
species: [SI(D)]
- name: NBulk
thermo: fixed-stoichiometry
elements: [N]
species: [N(D)]
species:
- name: H2
composition: {H: 2}
thermo:
model: NASA7
temperature-ranges: [200.0, 1000.0, 6000.0]
data:
- [2.34433112, 7.98052075e-03, -1.9478151e-05, 2.01572094e-08, -7.37611761e-12,
-917.935173, 0.683010238]
- [2.93286575, 8.26608026e-04, -1.46402364e-07, 1.54100414e-11, -6.888048e-16,
-813.065581, -1.02432865]
transport:
model: gas
geometry: linear
diameter: 2.92
well-depth: 38.0
polarizability: 0.79
rotational-relaxation: 280.0
note: TPIS78
- name: H
composition: {H: 1}
thermo:
model: NASA7
temperature-ranges: [200.0, 1000.0, 6000.0]
data:
- [2.5, 0.0, 0.0, 0.0, 0.0, 2.547366e+04, -0.44668285]
- [2.5, 0.0, 0.0, 0.0, 0.0, 2.547366e+04, -0.44668285]
transport:
model: gas
geometry: atom
diameter: 2.05
well-depth: 145.0
note: L6/94
- name: N2
composition: {N: 2}
thermo:
model: NASA7
temperature-ranges: [200.0, 1000.0, 6000.0]
data:
- [3.53100528, -1.23660988e-04, -5.02999433e-07, 2.43530612e-09, -1.40881235e-12,
-1046.97628, 2.96747038]
- [2.95257637, 1.3969004e-03, -4.92631603e-07, 7.86010195e-11, -4.60755204e-15,
-923.948688, 5.87188762]
transport:
model: gas
geometry: linear
diameter: 3.621
well-depth: 97.53
polarizability: 1.76
rotational-relaxation: 4.0
note: G8/02
- name: N
composition: {N: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [2.503071, -2.180018e-05, 5.420529e-08, -5.64756e-11, 2.099904e-14,
5.60989e+04, 4.167566]
- [2.450268, 1.066146e-04, -7.465337e-08, 1.879652e-11, -1.025984e-15,
5.611604e+04, 4.448758]
transport:
model: gas
geometry: atom
diameter: 3.298
well-depth: 71.4
note: '120186'
- name: NH
composition: {H: 1, N: 1}
thermo:
model: NASA7
temperature-ranges: [200.0, 1000.0, 6000.0]
data:
- [3.4929084, 3.1179197e-04, -1.4890484e-06, 2.4816442e-09, -1.0356967e-12,
4.1894294e+04, 1.8483277]
- [2.7836929, 1.3298429e-03, -4.2478047e-07, 7.8348504e-11, -5.504447e-15,
4.2134514e+04, 5.7407798]
transport:
model: gas
geometry: linear
diameter: 2.65
well-depth: 80.0
rotational-relaxation: 4.0
- name: NH2
composition: {H: 2, N: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [3.432493, 3.29954e-03, -6.6136e-06, 8.590947e-09, -3.572047e-12,
2.177228e+04, 3.090111]
- [2.961311, 2.932699e-03, -9.0636e-07, 1.617257e-10, -1.2042e-14, 2.191977e+04,
5.777878]
transport:
model: gas
geometry: nonlinear
diameter: 2.65
well-depth: 80.0
polarizability: 2.26
rotational-relaxation: 4.0
note: '121686'
- name: NNH
composition: {H: 1, N: 2}
thermo:
model: NASA7
temperature-ranges: [250.0, 1000.0, 4000.0]
data:
- [3.501344, 2.053587e-03, 7.17041e-07, 4.921348e-10, -9.67117e-13,
2.833347e+04, 6.391837]
- [4.415342, 1.614388e-03, -1.632894e-07, -8.559846e-11, 1.614791e-14,
2.788029e+04, 0.9042888]
transport:
model: gas
geometry: nonlinear
diameter: 3.798
well-depth: 71.4
rotational-relaxation: 1.0
note: '120186'
- name: N2H2
composition: {H: 2, N: 2}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [1.617999, 0.01306312, -1.715712e-05, 1.605608e-08, -6.093639e-12,
2.467526e+04, 13.79467]
- [3.371185, 6.039968e-03, -2.303854e-06, 4.062789e-10, -2.713144e-14,
2.418172e+04, 4.980585]
transport:
model: gas
geometry: nonlinear
diameter: 3.798
well-depth: 71.4
rotational-relaxation: 1.0
note: '121286'
- name: N2H3
composition: {H: 3, N: 2}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [3.174204, 4.715907e-03, 1.334867e-05, -1.919685e-08, 7.487564e-12,
1.72727e+04, 7.557224]
- [4.441846, 7.214271e-03, -2.495684e-06, 3.920565e-10, -2.29895e-14,
1.664221e+04, -0.4275205]
transport:
model: gas
geometry: nonlinear
diameter: 3.9
well-depth: 200.0
rotational-relaxation: 1.0
note: '120186'
- name: N2H4
composition: {H: 4, N: 2}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [0.06442606, 0.0274973, -2.899451e-05, 1.74524e-08, -4.422282e-12,
1.045192e+04, 21.27789]
- [4.977317, 9.595519e-03, -3.547639e-06, 6.124299e-10, -4.029795e-14,
9341.219, -2.96299]
transport:
model: gas
geometry: nonlinear
diameter: 4.23
well-depth: 205.0
polarizability: 4.26
rotational-relaxation: 1.5
note: '121286'
- name: HF
composition: {F: 1, H: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [3.4379986, 5.3571598e-04, -1.5229655e-06, 1.7564491e-09, -5.786994e-13,
-3.3818972e+04, 1.1930153]
- [2.991911, 7.1489475e-04, -6.8630973e-08, -1.161713e-11, 1.9412375e-15,
-3.3621364e+04, 3.8123288]
transport:
model: gas
geometry: linear
diameter: 3.148
well-depth: 330.0
dipole: 1.92
polarizability: 2.46
rotational-relaxation: 1.0
note: J6/77
- name: F
composition: {F: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [2.812874, -3.3023098e-06, -1.289731e-06, 1.6837365e-09, -6.4587833e-13,
8660.4019, 3.0984198]
- [2.7004353, -2.2293182e-04, 9.7941385e-08, -1.9123038e-11, 1.3768154e-15,
8716.3617, 3.8067182]
transport:
model: gas
geometry: atom
diameter: 2.75
well-depth: 80.0
note: J9/65
- name: SIF4
composition: {F: 4, Si: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [2.1893068, 0.033702007, -4.6723179e-05, 3.1584638e-08, -8.4506114e-12,
-1.9603289e+05, 13.287308]
- [10.478473, 2.8586756e-03, -1.2646314e-06, 2.4746863e-10, -1.7824296e-14,
-1.979055e+05, -27.520641]
transport:
model: gas
geometry: nonlinear
diameter: 4.88
well-depth: 171.9
rotational-relaxation: 1.0
note: J6/76
- name: SIF3
composition: {F: 3, Si: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 3000.0]
data:
- [4.6628685, 0.010087878, -1.8055442e-06, -7.769299e-09, 4.3778518e-12,
-1.2129652e+05, 4.672966]
- [8.5247898, 1.3237924e-03, -2.1042787e-07, -1.149504e-10, 3.0553014e-14,
-1.2235223e+05, -15.502343]
transport:
model: gas
geometry: nonlinear
diameter: 4.359
well-depth: 309.6
rotational-relaxation: 1.0
note: '41889'
- name: SIHF3
composition: {F: 3, H: 1, Si: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 3000.0]
data:
- [3.9180529, 0.014639172, -1.8560698e-06, -1.0582003e-08, 5.6175433e-12,
-1.4704386e+05, 7.0242615]
- [9.3635674, 2.9475559e-03, -3.577633e-07, -2.8582245e-10, 6.9157286e-14,
-1.4860736e+05, -21.694529]
transport:
model: gas
geometry: nonlinear
diameter: 4.681
well-depth: 180.8
rotational-relaxation: 1.0
note: '41889'
- name: SIF3NH2
composition: {F: 3, H: 2, N: 1, Si: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 3000.0]
data:
- [6.229403, 0.017780151, -2.6123043e-06, -1.2672435e-08, 7.0445559e-12,
-1.6258489e+05, 0.20454407]
- [12.109636, 4.3832823e-03, -4.1422453e-07, -3.9890902e-10, 8.9589543e-14,
-1.6417678e+05, -30.469284]
transport:
model: gas
geometry: nonlinear
diameter: 4.975
well-depth: 231.0
rotational-relaxation: 1.0
note: '41889'
- name: NH3
composition: {H: 3, N: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 5000.0]
data:
- [2.204352, 0.01011476, -1.465265e-05, 1.447235e-08, -5.328509e-12,
-6525.488, 8.127138]
- [2.461904, 6.059166e-03, -2.004977e-06, 3.136003e-10, -1.938317e-14,
-6493.27, 7.472097]
transport:
model: gas
geometry: nonlinear
diameter: 2.92
well-depth: 481.0
dipole: 1.47
rotational-relaxation: 10.0
note: '121386'
- name: F3SI_NH2(S)
composition: {F: 3, H: 2, N: 1, Si: 1}
sites: 2.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: F2SINH(S)
composition: {F: 2, H: 1, N: 1, Si: 1}
sites: 2.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: H2NFSINH(S)
composition: {F: 1, H: 3, N: 2, Si: 1}
sites: 2.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: HN(FSINH)2(S)
composition: {F: 2, H: 3, N: 3, Si: 2}
sites: 4.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: HN_SIF(S)
composition: {F: 1, H: 1, N: 1, Si: 1}
sites: 2.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: HN_NH2(S)
composition: {H: 3, N: 2}
sites: 2.0
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
note: J3/67
- name: SI(D)
composition: {Si: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
equation-of-state:
model: constant-volume
density: 2.066 g/cm^3
note: J3/67
- name: N(D)
composition: {N: 1}
thermo:
model: NASA7
temperature-ranges: [300.0, 1000.0, 1685.0]
data:
- [0.84197538, 8.3710416e-03, -1.307703e-05, 9.7593603e-09, -2.727938e-12,
-524.86288, -4.5272678]
- [2.4753989, 8.8112187e-04, -2.0939481e-07, 4.2757187e-12, 1.6006564e-14,
-812.5562, -12.188747]
equation-of-state:
model: constant-volume
density: 1.374 g/cm^3
note: J3/67
gas-reactions:
- equation: H + H + M <=> H2 + M # Reaction 1
type: three-body
rate-constant: {A: 1.0e+18, b: -1.0, Ea: 0.0}
efficiencies: {H2: 0.0}
- equation: H + H + H2 <=> H2 + H2 # Reaction 2
rate-constant: {A: 9.2e+16, b: -0.6, Ea: 0.0}
- equation: NH + N <=> N2 + H # Reaction 3
rate-constant: {A: 3.0e+13, b: 0.0, Ea: 0.0}
- equation: NH + H <=> N + H2 # Reaction 4
rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0}
- equation: NH2 + H <=> NH + H2 # Reaction 5
rate-constant: {A: 6.92e+13, b: 0.0, Ea: 3650.0}
- equation: NH3 + H <=> NH2 + H2 # Reaction 6
rate-constant: {A: 6.36e+05, b: 2.39, Ea: 1.0171e+04}
- equation: NNH <=> N2 + H # Reaction 7
rate-constant: {A: 1.0e+04, b: 0.0, Ea: 0.0}
- equation: NNH + H <=> N2 + H2 # Reaction 8
rate-constant: {A: 1.0e+14, b: 0.0, Ea: 0.0}
- equation: NNH + NH2 <=> N2 + NH3 # Reaction 9
rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0}
- equation: NNH + NH <=> N2 + NH2 # Reaction 10
rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0}
- equation: NH2 + NH <=> N2H2 + H # Reaction 11
rate-constant: {A: 5.0e+13, b: 0.0, Ea: 0.0}
- equation: NH + NH <=> N2 + H + H # Reaction 12
rate-constant: {A: 2.54e+13, b: 0.0, Ea: 0.0}
- equation: NH2 + N <=> N2 + H + H # Reaction 13
rate-constant: {A: 7.2e+13, b: 0.0, Ea: 0.0}
- equation: N2H2 + M <=> NNH + H + M # Reaction 14
type: three-body
rate-constant: {A: 5.0e+16, b: 0.0, Ea: 5.0e+04}
efficiencies: {H2: 2.0, N2: 2.0}
- equation: N2H2 + H <=> NNH + H2 # Reaction 15
rate-constant: {A: 5.0e+13, b: 0.0, Ea: 1000.0}
- equation: N2H2 + NH <=> NNH + NH2 # Reaction 16
rate-constant: {A: 1.0e+13, b: 0.0, Ea: 1000.0}
- equation: N2H2 + NH2 <=> NH3 + NNH # Reaction 17
rate-constant: {A: 1.0e+13, b: 0.0, Ea: 1000.0}
- equation: NH2 + NH2 <=> N2H2 + H2 # Reaction 18
rate-constant: {A: 5.0e+11, b: 0.0, Ea: 0.0}
- equation: NH3 + M <=> NH2 + H + M # Reaction 19
type: three-body
rate-constant: {A: 1.4e+16, b: 0.0, Ea: 9.06e+04}
- equation: N2H3 + H <=> NH2 + NH2 # Reaction 20
rate-constant: {A: 1.6e+12, b: 0.0, Ea: 0.0}
- equation: N2H3 + M <=> N2H2 + H + M # Reaction 21
type: three-body
rate-constant: {A: 3.5e+16, b: 0.0, Ea: 4.6e+04}
- equation: N2H3 + NH <=> NH2 + N2H2 # Reaction 22
rate-constant: {A: 2.0e+13, b: 0.0, Ea: 0.0}
- equation: NH2 + NH2 + M <=> N2H4 + M # Reaction 23
type: three-body
rate-constant: {A: 3.0e+20, b: -1.0, Ea: 0.0}
- equation: H + N2H4 <=> H2 + N2H3 # Reaction 24
rate-constant: {A: 1.3e+13, b: 0.0, Ea: 2500.0}
- equation: NH2 + N2H4 <=> NH3 + N2H3 # Reaction 25
rate-constant: {A: 3.9e+12, b: 0.0, Ea: 1500.0}
- equation: NH + H + M <=> NH2 + M # Reaction 26
type: three-body
rate-constant: {A: 2.0e+16, b: -0.5, Ea: 0.0}
- equation: NH2 + NH2 <=> NH3 + NH # Reaction 27
rate-constant: {A: 5.0e+12, b: 0.0, Ea: 1.0e+04}
- equation: F + NH3 <=> NH2 + HF # Reaction 28
rate-constant: {A: 4.27e+11, b: 0.5, Ea: 800.0}
- equation: SIF4 <=> SIF3 + F # Reaction 29
rate-constant: {A: 3.0e+12, b: 0.0, Ea: 1.4717e+05}
- equation: H + SIF4 <=> HF + SIF3 # Reaction 30
rate-constant: {A: 1.0e+13, b: 0.0, Ea: 5.0e+04}
- equation: NH2 + SIF4 <=> SIF3NH2 + F # Reaction 31
rate-constant: {A: 1.0e+11, b: 0.0, Ea: 4.095e+04}
- equation: NH3 + SIF3 <=> SIF3NH2 + H # Reaction 32
rate-constant: {A: 1.0e+11, b: 0.0, Ea: 5000.0}
- equation: NH3 + SIF3 <=> SIHF3 + NH2 # Reaction 33
rate-constant: {A: 1.0e+11, b: 0.0, Ea: 1.0e+04}
SI3N4-reactions:
- equation: F3SI_NH2(S) => F2SINH(S) + HF # Reaction 34
rate-constant: {A: 1.0e+05, b: 0.0, Ea: 0.0}
- equation: NH3 + F2SINH(S) => H2NFSINH(S) + HF # Reaction 35
rate-constant: {A: 7.562e+08, b: 0.5, Ea: 0.0}
- equation: H2NFSINH(S) + F2SINH(S) => HN(FSINH)2(S) + HF # Reaction 36
rate-constant: {A: 1.0e+15, b: 0.0, Ea: 0.0}
- equation: NH3 + HN_SIF(S) => HN_NH2(S) + SI(D) + HF # Reaction 37
rate-constant: {A: 7.56e+08, b: 0.5, Ea: 0.0}
- equation: SIF4 + HN_NH2(S) => F3SI_NH2(S) + N(D) + HF # Reaction 38
rate-constant: {A: 3.1e+08, b: 0.5, Ea: 0.0}
- equation: HN(FSINH)2(S) + F2SINH(S) => 3 HN_SIF(S) + N(D) + HF # Reaction 39
rate-constant: {A: 1.0e+15, b: 0.0, Ea: 0.0}

View File

@ -73,7 +73,7 @@ if env['system_sundials'] == 'n':
)
# Copy sundials header files into common include directory
for subdir in ('sundials', 'nvector', 'cvodes', 'ida', 'sunmatrix',
for subdir in ('sundials', 'nvector', 'cvodes', 'idas', 'sunmatrix',
'sunlinsol', 'sunnonlinsol'):
for header in multi_glob(env, 'sundials/include/'+subdir, 'h'):
ext_copies.extend(
@ -84,7 +84,7 @@ if env['system_sundials'] == 'n':
# Compile Sundials source files. Skip files related to the Sundials Fortran
# interface, which start with 'fsun'.
subdirs = ['sundials', 'nvector/serial', 'cvodes', 'ida', 'sunmatrix/band',
subdirs = ['sundials', 'nvector/serial', 'cvodes', 'idas', 'sunmatrix/band',
'sunmatrix/dense', 'sunmatrix/sparse', 'sunlinsol/dense',
'sunlinsol/band','sunlinsol/spgmr', 'sunnonlinsol/newton']
if env['use_lapack']:

View File

@ -1,270 +0,0 @@
/**
* @file DAE_Solver.h
* Header file for class DAE_Solver
*/
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
#ifndef CT_DAE_Solver_H
#define CT_DAE_Solver_H
#include "ResidJacEval.h"
#include "cantera/base/global.h"
namespace Cantera
{
class Jacobian
{
public:
Jacobian() = default;
virtual ~Jacobian() = default;
virtual bool supplied() {
return false;
}
virtual bool isBanded() {
return false;
}
virtual int lowerBandWidth() {
return 0;
}
virtual int upperBandWidth() {
return 0;
}
};
class BandedJacobian : public Jacobian
{
public:
BandedJacobian(int ml, int mu) {
m_ml = ml;
m_mu = mu;
}
virtual bool supplied() {
return false;
}
virtual bool isBanded() {
return true;
}
virtual int lowerBandWidth() {
return m_ml;
}
virtual int upperBandWidth() {
return m_mu;
}
protected:
int m_ml, m_mu;
};
const int cDirect = 0;
const int cKrylov = 1;
/**
* Wrapper for DAE solvers
*
* @attention This class currently does not have any test cases or examples. Its
* implementation may be incomplete, and future changes to Cantera may
* unexpectedly cause this class to stop working. If you use this class,
* please consider contributing examples or test cases. In the absence of
* new tests or examples, this class may be deprecated and removed in a
* future version of Cantera. See
* https://github.com/Cantera/cantera/issues/267 for additional information.
*/
class DAE_Solver
{
public:
DAE_Solver(ResidJacEval& f) :
m_resid(f),
m_neq(f.nEquations())
{
}
virtual ~DAE_Solver() = default;
/**
* Set error tolerances. This version specifies a scalar
* relative tolerance, and a vector absolute tolerance.
*/
virtual void setTolerances(doublereal reltol,
doublereal* abstol) {
warn("setTolerances");
}
/**
* Set error tolerances. This version specifies a scalar
* relative tolerance, and a scalar absolute tolerance.
*/
virtual void setTolerances(doublereal reltol, doublereal abstol) {
warn("setTolerances");
}
/**
* Specify a Jacobian evaluator. If this method is not called,
* the Jacobian will be computed by finite difference.
*/
void setJacobian(Jacobian& jac) {
warn("setJacobian");
}
virtual void setLinearSolverType(int solverType) {
warn("setLinearSolverType");
}
virtual void setDenseLinearSolver() {
warn("setDenseLinearSolver");
}
virtual void setBandedLinearSolver(int m_upper, int m_lower) {
warn("setBandedLinearSolver");
}
virtual void setMaxStepSize(doublereal dtmax) {
warn("setMaxStepSize");
}
virtual void setMaxOrder(int n) {
warn("setMaxOrder");
}
virtual void setMaxNumSteps(int n) {
warn("setMaxNumSteps");
}
virtual void setInitialStepSize(doublereal h0) {
warn("setInitialStepSize");
}
virtual void setStopTime(doublereal tstop) {
warn("setStopTime");
}
virtual void setMaxErrTestFailures(int n) {
warn("setMaxErrTestFailures");
}
virtual void setMaxNonlinIterations(int n) {
warn("setMaxNonlinIterations");
}
virtual void setMaxNonlinConvFailures(int n) {
warn("setMaxNonlinConvFailures");
}
virtual void inclAlgebraicInErrorTest(bool yesno) {
warn("inclAlgebraicInErrorTest");
}
//! Calculate consistent value of the starting solution given the starting
//! solution derivatives
/**
* This method may be called if the initial conditions do not satisfy the
* residual equation F = 0. Given the derivatives of all variables, this
* method computes the initial y values.
*/
virtual void correctInitial_Y_given_Yp(doublereal* y, doublereal* yp,
doublereal tout) {
warn("correctInitial_Y_given_Yp");
}
//! Calculate consistent value of the algebraic constraints and derivatives
//! at the start of the problem
/**
* This method may be called if the initial conditions do not satisfy the
* residual equation F = 0. Given the initial values of all differential
* variables, it computes the initial values of all algebraic variables and
* the initial derivatives of all differential variables.
* @param y Calculated value of the solution vector after the procedure ends
* @param yp Calculated value of the solution derivative after the procedure
* @param tout The first value of t at which a soluton will be
* requested (from IDASolve). (This is needed here to
* determine the direction of integration and rough scale
* in the independent variable t.
*/
virtual void correctInitial_YaYp_given_Yd(doublereal* y, doublereal* yp,
doublereal tout) {
warn("correctInitial_YaYp_given_Yd");
}
/**
* Solve the system of equations up to time tout.
*/
virtual int solve(doublereal tout) {
warn("solve");
return 0;
}
/**
* Take one internal step.
*/
virtual doublereal step(doublereal tout) {
warn("step");
return 0;
}
//! Number of equations.
int nEquations() const {
return m_resid.nEquations();
}
/**
* initialize. Base class method does nothing.
*/
virtual void init(doublereal t0) {}
/**
* Set a solver-specific input parameter.
*/
virtual void setInputParameter(int flag, doublereal value) {
warn("setInputParameter");
}
/**
* Get the value of a solver-specific output parameter.
*/
virtual doublereal getOutputParameter(int flag) const {
warn("getOutputParameter");
return 0.0;
}
//! the current value of solution component k.
virtual doublereal solution(int k) const {
warn("solution");
return 0.0;
}
virtual const doublereal* solutionVector() const {
warn("solutionVector");
return &m_dummy;
}
//! the current value of the derivative of solution component k.
virtual doublereal derivative(int k) const {
warn("derivative");
return 0.0;
}
virtual const doublereal* derivativeVector() const {
warn("derivativeVector");
return &m_dummy;
}
protected:
doublereal m_dummy;
ResidJacEval& m_resid;
//! Number of total equations in the system
integer m_neq;
double m_time = 0.0;
private:
void warn(const std::string& msg) const {
writelog(">>>> Warning: method "+msg+" of base class "
+"DAE_Solver called. Nothing done.\n");
}
};
//! Factor method for choosing a DAE solver
/*!
* @param itype String identifying the type (IDA is the only option)
* @param f Residual function to be solved by the DAE algorithm
* @returns a point to the instantiated DAE_Solver object
*/
DAE_Solver* newDAE_Solver(const std::string& itype, ResidJacEval& f);
}
#endif

View File

@ -16,7 +16,7 @@ namespace Cantera
{
/**
* Virtual base class for ODE right-hand-side function evaluators.
* Virtual base class for ODE/DAE right-hand-side function evaluators.
* Classes derived from FuncEval evaluate the right-hand-side function
* \f$ \vec{F}(t,\vec{y})\f$ in
* \f[
@ -31,13 +31,30 @@ public:
virtual ~FuncEval() = default;
/**
* Evaluate the right-hand-side function. Called by the integrator.
* Evaluate the right-hand-side ODE function. Called by the integrator.
* @param[in] t time.
* @param[in] y solution vector, length neq()
* @param[out] ydot rate of change of solution vector, length neq()
* @param[in] p sensitivity parameter vector, length nparams()
*/
virtual void eval(double t, double* y, double* ydot, double* p)=0;
virtual void eval(double t, double* y, double* ydot, double* p);
/**
* Evaluate the right-hand-side DAE function. Called by the integrator.
* @param[in] t time.
* @param[in] y solution vector, length neq()
* @param[out] ydot rate of change of solution vector, length neq()
* @param[in] p sensitivity parameter vector, length nparams()
* @param[out] residual the DAE residuals, length nparams()
*/
virtual void eval(double t, double* y, double* ydot, double* p,
double* residual);
//! Given a vector of length neq(), mark which variables should be
//! considered algebraic constraints
virtual void getConstraints(double* constraints) {
throw NotImplementedError("FuncEval::getConstraints");
}
//! Evaluate the right-hand side using return code to indicate status.
/*!
@ -50,6 +67,17 @@ public:
*/
int eval_nothrow(double t, double* y, double* ydot);
//! Evaluate the right-hand side using return code to indicate status.
/*!
* Errors are indicated using the return value, rather than by throwing
* exceptions. This method is used when calling from a C-based integrator
* such as CVODES. Exceptions may either be stored or printed, based on the
* setting of suppressErrors().
* @returns 0 for a successful evaluation; 1 after a potentially-
* recoverable error; -1 after an unrecoverable error.
*/
int eval_nothrow(double t, double* y, double* ydot, double* residaul);
/*! Evaluate the setup processes for the Jacobian preconditioner.
* @param[in] t time.
* @param[in] y solution vector, length neq()
@ -102,6 +130,11 @@ public:
throw NotImplementedError("FuncEval::getState");
}
//! Fill in the vectors *y* and *ydot* with the current state of the system
virtual void getState(double* y, double* ydot) {
throw NotImplementedError("FuncEval::getState");
}
//! Number of equations.
virtual size_t neq()=0;

View File

@ -0,0 +1,133 @@
/**
* @file IDAIntegrator.h
* Header file for class IDAIntegrator
*/
// This file is part of Cantera. See License.txt in the top-level directory or
// at http://www.cantera.org/license.txt for license and copyright information.
#ifndef CT_IDAIntegrator_H
#define CT_IDAIntegrator_H
#include "cantera/numerics/Integrator.h"
#include "cantera/base/ctexceptions.h"
#include "sundials/sundials_nvector.h"
namespace Cantera
{
/**
* Wrapper for Sundials IDA solver
* @see FuncEval.h. Classes that use IDAIntegrator:
* FlowReactor
*/
class IDAIntegrator : public Integrator
{
public:
/**
* Constructor. Default settings: dense Jacobian, no user-supplied
* Jacobian function, Newton iteration.
*/
IDAIntegrator();
virtual ~IDAIntegrator();
virtual void setTolerances(double reltol, size_t n, double* abstol);
virtual void setTolerances(double reltol, double abstol);
virtual void setSensitivityTolerances(double reltol, double abstol);
virtual void setProblemType(int probtype);
virtual void initialize(double t0, FuncEval& func);
virtual void reinitialize(double t0, FuncEval& func);
virtual void integrate(double tout);
virtual double step(double tout);
virtual double& solution(size_t k);
virtual double* solution();
virtual int nEquations() const {
return static_cast<int>(m_neq);
}
virtual int nEvals() const;
virtual void setMaxOrder(int n) {
m_maxord = n;
}
virtual void setMaxStepSize(double hmax);
virtual void setMaxSteps(int nmax);
virtual int maxSteps();
virtual void setMaxErrTestFails(int n);
virtual void setBandwidth(int N_Upper, int N_Lower) {
m_mupper = N_Upper;
m_mlower = N_Lower;
}
virtual int nSensParams() {
return static_cast<int>(m_np);
}
virtual double sensitivity(size_t k, size_t p);
//! Returns a string listing the weighted error estimates associated
//! with each solution component.
//! This information can be used to identify which variables are
//! responsible for integrator failures or unexpected small timesteps.
virtual std::string getErrorInfo(int N);
//! Error message information provide by CVodes
std::string m_error_message;
virtual void setMaxNonlinIterations(int n);
virtual void setMaxNonlinConvFailures(int n);
virtual void inclAlgebraicInErrorTest(bool yesno);
virtual void setMethod(MethodType t);
virtual void setIterator(IterType t);
protected:
protected:
//! Applies user-specified options to the underlying CVODES solver. Called
//! during integrator initialization or reinitialization.
void applyOptions();
private:
void sensInit(double t0, FuncEval& func);
size_t m_neq;
void* m_ida_mem; //!< Pointer to the IDA memory for the problem
void* m_linsol; //!< Sundials linear solver object
void* m_linsol_matrix; //!< matrix used by Sundials
FuncEval* m_func;
double m_t0;
double m_time; //!< The current integrator time
N_Vector m_y, m_ydot, m_abstol;
int m_type;
int m_itol;
int m_maxord;
double m_reltol;
double m_abstols;
double m_reltolsens, m_abstolsens;
size_t m_nabs;
double m_hmax, m_hmin;
int m_maxsteps;
int m_maxErrTestFails;
N_Vector* m_yS;
N_Vector* m_ySdot;
size_t m_np;
int m_mupper, m_mlower;
N_Vector m_constraints;
//! Indicates whether the sensitivities stored in m_yS have been updated
//! for at the current integrator time.
bool m_sens_ok;
//! Maximum number of nonlinear solver iterations at one solution
/*!
* If zero, this is the default of 4.
*/
int m_maxNonlinIters;
//! Maximum number of nonlinear convergence failures
int m_maxNonlinConvFails;
//! If true, the algebraic variables don't contribute to error tolerances
bool m_setSuppressAlg;
//! Initial IDA stepsize
double m_init_step;
};
}
#endif

View File

@ -1,311 +0,0 @@
/**
* @file IDA_Solver.h
* Header file for class IDA_Solver
*/
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
#ifndef CT_IDA_SOLVER_H
#define CT_IDA_SOLVER_H
#include "DAE_Solver.h"
#include "SundialsContext.h"
#include "sundials/sundials_nvector.h"
// These constants are defined internally in the IDA package, ida.c
#define IDA_NN 0
#define IDA_SS 1
#define IDA_SV 2
#define IDA_WF 3
#define REAL_WORKSPACE_SIZE 0
namespace Cantera
{
class ResidData;
/**
* Wrapper for Sundials IDA solver
*
* @attention This class currently does not have any test cases or examples. Its
* implementation may be incomplete, and future changes to Cantera may
* unexpectedly cause this class to stop working. If you use this class,
* please consider contributing examples or test cases. In the absence of
* new tests or examples, this class may be deprecated and removed in a
* future version of Cantera. See
* https://github.com/Cantera/cantera/issues/267 for additional information.
*/
class IDA_Solver : public DAE_Solver
{
public:
//! Constructor.
/*!
* Default settings: dense Jacobian, no user-supplied Jacobian function,
* Newton iteration.
*
* @param f Function that will supply the time dependent residual to be solved
*/
IDA_Solver(ResidJacEval& f);
virtual ~IDA_Solver();
virtual void setTolerances(doublereal reltol,
doublereal* abstol);
virtual void setTolerances(doublereal reltol, doublereal abstol);
virtual void setLinearSolverType(int solverType);
//! Set up the problem to use a dense linear direct solver
virtual void setDenseLinearSolver();
//! Set up the problem to use a band solver
/*!
* @param m_upper upper band width of the matrix
* @param m_lower lower band width of the matrix
*/
virtual void setBandedLinearSolver(int m_upper, int m_lower);
virtual void setMaxOrder(int n);
//! Set the maximum number of time steps
/*!
* @param n input of maximum number of time steps
*/
virtual void setMaxNumSteps(int n);
//! Set the initial step size
/*!
* @param h0 initial step size value
*/
virtual void setInitialStepSize(doublereal h0);
//! Set the stop time
/*!
* @param tstop the independent variable value past which the solution is
* not to proceed.
*/
virtual void setStopTime(doublereal tstop);
//! Get the current step size from IDA via a call
/*!
* @returns the current step size.
*/
virtual double getCurrentStepFromIDA();
//! Set the form of the Jacobian
/*!
* @param formJac Form of the Jacobian
* 0 numerical Jacobian
* 1 analytical Jacobian given by the evalJacobianDP() function
*/
virtual void setJacobianType(int formJac);
virtual void setMaxErrTestFailures(int n);
//! Set the maximum number of nonlinear iterations on a timestep
/*!
* @param n Set the max iterations. The default is 4, which seems awfully low to me.
*/
virtual void setMaxNonlinIterations(int n);
//! Set the maximum number of nonlinear solver convergence failures
/*!
* @param n Value of nonlin failures. If value is exceeded, the calculation terminates.
*/
virtual void setMaxNonlinConvFailures(int n);
virtual void inclAlgebraicInErrorTest(bool yesno);
/**
* Get the value of a solver-specific output parameter.
*/
virtual doublereal getOutputParameter(int flag) const;
virtual void correctInitial_Y_given_Yp(doublereal* y, doublereal* yp,
doublereal tout);
virtual void correctInitial_YaYp_given_Yd(doublereal* y, doublereal* yp, doublereal tout);
//! Step the system to a final value of the time
/*!
* @param tout Final value of the time
* @returns the IDASolve() return flag
*
* The return values for IDASolve are described below. (The numerical return
* values are defined above in this file.) All unsuccessful returns give a
* negative return value.
*
* IDA_SUCCESS
* IDASolve succeeded and no roots were found.
*
* IDA_ROOT_RETURN: IDASolve succeeded, and found one or more roots.
* If nrtfn > 1, call IDAGetRootInfo to see which g_i were found
* to have a root at (*tret).
*
* IDA_TSTOP_RETURN:
* IDASolve returns computed results for the independent variable
* value tstop. That is, tstop was reached.
*
* IDA_MEM_NULL:
* The IDA_mem argument was NULL.
*
* IDA_ILL_INPUT:
* One of the inputs to IDASolve is illegal. This includes the
* situation when a component of the error weight vectors
* becomes < 0 during internal stepping. It also includes the
* situation where a root of one of the root functions was found
* both at t0 and very near t0. The ILL_INPUT flag
* will also be returned if the linear solver function IDA---
* (called by the user after calling IDACreate) failed to set one
* of the linear solver-related fields in ida_mem or if the linear
* solver's init routine failed. In any case, the user should see
* the printed error message for more details.
*
* IDA_TOO_MUCH_WORK:
* The solver took mxstep internal steps but could not reach tout.
* The default value for mxstep is MXSTEP_DEFAULT = 500.
*
* IDA_TOO_MUCH_ACC:
* The solver could not satisfy the accuracy demanded by the user
* for some internal step.
*
* IDA_ERR_FAIL:
* Error test failures occurred too many times (=MXETF = 10) during
* one internal step.
*
* IDA_CONV_FAIL:
* Convergence test failures occurred too many times (= MXNCF = 10)
* during one internal step.
*
* IDA_LSETUP_FAIL:
* The linear solver's setup routine failed
* in an unrecoverable manner.
*
* IDA_LSOLVE_FAIL:
* The linear solver's solve routine failed
* in an unrecoverable manner.
*
* IDA_CONSTR_FAIL:
* The inequality constraints were violated,
* and the solver was unable to recover.
*
* IDA_REP_RES_ERR:
* The user's residual function repeatedly returned a recoverable
* error flag, but the solver was unable to recover.
*
* IDA_RES_FAIL:
* The user's residual function returned a nonrecoverable error
* flag.
*/
virtual int solve(doublereal tout);
virtual doublereal step(doublereal tout);
virtual void init(doublereal t0);
virtual doublereal solution(int k) const;
virtual const doublereal* solutionVector() const;
virtual doublereal derivative(int k) const;
virtual const doublereal* derivativeVector() const;
void* IDAMemory() {
return m_ida_mem;
}
protected:
//! Pointer to the IDA memory for the problem
void* m_ida_mem = nullptr;
void* m_linsol = nullptr; //!< Sundials linear solver object
void* m_linsol_matrix = nullptr; //!< matrix used by Sundials
SundialsContext m_sundials_ctx; //!< SUNContext object for Sundials>=6.0
//! Initial value of the time
double m_t0 = 0.0;
//! Current value of the solution vector
N_Vector m_y = nullptr;
//! Current value of the derivative of the solution vector
N_Vector m_ydot = nullptr;
N_Vector m_id = nullptr;
N_Vector m_constraints = nullptr;
N_Vector m_abstol = nullptr;
int m_type = 0;
int m_itol = IDA_SS;
int m_iter = 0;
double m_reltol = 1e-9;
double m_abstols = 1e-15;
int m_nabs = 0;
//! Maximum value of the timestep allowed
double m_hmax = 0.0;
//! Minimum value of the timestep allowed
double m_hmin = 0.0;
//! Value of the initial time step
double m_h0 = 0.0;
//! Maximum number of time steps allowed
int m_maxsteps = 20000;
//! maximum time step order of the method
int m_maxord = 0;
//! Form of the Jacobian
/*!
* 0 numerical Jacobian created by IDA
* 1 analytical Jacobian. Must have populated the evalJacobianDP()
* function in the ResidJacEval class.
* 2 numerical Jacobian formed by the ResidJacEval class (unimplemented)
*/
int m_formJac = 0;
//! maximum time
double m_tstop = 0.0;
//! Value of the previous, previous time
double m_told_old = 0.0;
//! Value of the previous time
double m_told = 0;
//! Value of the current time
double m_tcurrent = 0;
//! Value of deltaT for the current step
double m_deltat = 0.0;
//! maximum number of error test failures
int m_maxErrTestFails = -1;
//! Maximum number of nonlinear solver iterations at one solution
/*!
* If zero, this is the default of 4.
*/
int m_maxNonlinIters = 0;
//! Maximum number of nonlinear convergence failures
int m_maxNonlinConvFails = -1;
//! If true, the algebraic variables don't contribute to error tolerances
int m_setSuppressAlg = 0;
std::unique_ptr<ResidData> m_fdata;
int m_mupper = 0;
int m_mlower = 0;
};
}
#endif

View File

@ -3,7 +3,7 @@
*/
/**
* @defgroup odeGroup ODE Integrators
* @defgroup intGroup Zero-dimensional Integrators
*/
// This file is part of Cantera. See License.txt in the top-level directory or
@ -288,6 +288,16 @@ public:
return stats;
}
virtual void setMaxNonlinIterations(int n) {
warn("setMaxNonlinIterations");
}
virtual void setMaxNonlinConvFailures(int n) {
warn("setMaxNonlinConvFailures");
}
virtual void inclAlgebraicInErrorTest(bool yesno) {
warn("inclAlgebraicInErrorTest");
}
protected:
//! Pointer to preconditioner object used in integration which is
//! set by setPreconditioner and initialized inside of
@ -295,6 +305,7 @@ protected:
shared_ptr<PreconditionerBase> m_preconditioner;
//! Type of preconditioning used in applyOptions
PreconditionerSide m_prec_side = PreconditionerSide::NO_PRECONDITION;
// methods for DAE solvers
private:
doublereal m_dummy;
@ -304,7 +315,7 @@ private:
}
};
// defined in ODE_integrators.cpp
// defined in Integrators.cpp
Integrator* newIntegrator(const std::string& itype);
} // namespace

View File

@ -0,0 +1,50 @@
#ifndef CT_SUNDIALS_HEADERS
#define CT_SUNDIALS_HEADERS
#include "sundials/sundials_types.h"
#include "sundials/sundials_math.h"
#include "sundials/sundials_nvector.h"
#include "nvector/nvector_serial.h"
#include "cvodes/cvodes.h"
#include "idas/idas.h"
#if CT_SUNDIALS_VERSION >= 30
#if CT_SUNDIALS_USE_LAPACK
#include "sunlinsol/sunlinsol_lapackdense.h"
#include "sunlinsol/sunlinsol_lapackband.h"
#else
#include "sunlinsol/sunlinsol_dense.h"
#include "sunlinsol/sunlinsol_band.h"
#endif
#include "sunlinsol/sunlinsol_spgmr.h"
#include "cvodes/cvodes_direct.h"
#include "cvodes/cvodes_diag.h"
#include "cvodes/cvodes_spils.h"
#include "idas/idas_direct.h"
#include "idas/idas_spils.h"
#else
#if CT_SUNDIALS_USE_LAPACK
#include "cvodes/cvodes_lapack.h"
#include "idas/idas_lapack.h"
#else
#include "cvodes/cvodes_dense.h"
#include "cvodes/cvodes_band.h"
#include "idas/idas_dense.h"
#include "idas/idas_band.h"
#endif
#include "cvodes/cvodes_diag.h"
#include "cvodes/cvodes_spgmr.h"
#include "idas/idas_spgmr.h"
#endif
#define CV_SS 1
#define IDA_SS 1
#define CV_SV 2
#define IDA_SV 2
#if CT_SUNDIALS_VERSION < 25
typedef int sd_size_t;
#else
typedef long int sd_size_t;
#endif
#endif

View File

@ -6,55 +6,167 @@
#ifndef CT_FLOWREACTOR_H
#define CT_FLOWREACTOR_H
#include "Reactor.h"
#include "IdealGasReactor.h"
namespace Cantera
{
//! Adiabatic flow in a constant-area duct.
class FlowReactor : public Reactor
class FlowReactor : public IdealGasReactor
{
public:
FlowReactor() = default;
//! Note: currently assumes a cylinder
FlowReactor(double area=1.0,
double sa_to_vol=-1,
double ss_atol=1e-14,
double ss_rtol=1e-7,
int max_ss_steps = 20000,
int max_ss_error_fails=10);
virtual std::string type() const {
return "FlowReactor";
}
virtual void getState(doublereal* y);
virtual void getState(double* y)
{
throw CanteraError("FlowReactor::getState", "Not Implemented!");
}
virtual void getState(double* y, double* ydot);
virtual void initialize(doublereal t0 = 0.0);
virtual void eval(double t, double* LHS, double* RHS);
virtual void updateState(doublereal* y);
void setMassFlowRate(double mdot);
/*!
* Evaluate the reactor governing equations. Called by ReactorNet::eval.
* @param[in] t time.
* @param[in] y solution vector, length neq()
* @param[out] ydot rate of change of solution vector, length neq()
* @param[in] params sensitivity parameter vector, length ReactorNet::nparams()
*/
virtual void eval(double t, double* y,
double* ydot, double* params)
{
throw CanteraError("FlowReactor::eval", "Not Implemented!");
}
/*!
* Evaluate the reactor governing equations. Called by ReactorNet::eval.
* @param[in] t time.
* @param[in] y solution vector, length neq()
* @param[in] ydot rate of change of solution vector, length neq()
* @param[in] params sensitivity parameter vector, length ReactorNet::nparams()
* @param[out] residual resisduals vector, length neq()
*/
virtual void eval(double t, double* y,
double* ydot, double* params,
double* residual);
//! Given a vector of length neq(), mark which variables should be
//! considered algebraic constraints
virtual void getConstraints(double* constraints) {
// mark all variables differential equations unless otherwise specified
std::fill(constraints, constraints + m_nv, 1.0);
// the species coverages are algebraic constraints
std::fill(constraints + m_non_spec_eq + m_nsp, constraints + m_nv, 0.0);
}
virtual void syncState();
virtual void updateState(doublereal* y);
void setMassFlowRate(double mdot);
void setTimeConstant(doublereal tau) {
m_fctr = 1.0/tau;
void setMassFlowRate(doublereal mdot) {
m_rho = m_thermo->density();
m_u = mdot/(m_rho * m_area);
}
//! The current gas speed in the reactor [m/s]
double speed() const {
return m_speed;
return m_u;
}
double distance() const {
return m_dist;
//! The area of the reactor [m^2]
double area() const {
return m_area;
}
//! Sets the area of the reactor [m^2]
void setArea(double area) {
m_area = area;
setMassFlowRate(m_rho * m_u * area);
}
//! The ratio of the reactor's surface area to volume ratio [m^-1]
//! @note If the surface area to volume ratio is unspecified by the user,
//! this will be calculated assuming the reactor is a cylinder.
double surfaceAreaToVolumeRatio() const {
if (m_sa_to_vol > 0)
return m_sa_to_vol;
// assuming a cylinder, volume = Pi * r^2 * L, and perimeter = 2 * Pi * r * L
// where L is the length, and r is the radius of the reactor
// hence, perimeter / area = 2 * Pi * r * L / (Pi * L * r^2) = 2 / r
return 2.0 / sqrt(m_area / Pi);
}
//! Set the reactor's surface area to volume ratio [m^-1]
void setSurfaceAreaToVolumeRatio(double sa_to_vol) {
m_sa_to_vol = sa_to_vol;
}
//! Set the steady state tolerances used to determine the initial state for
//! surface coverages
void setSteadyStateAtol(double atol) {
m_ss_atol = atol;
}
//! Set the steady state tolerances used to determine the initial state for
//! surface coverages
void setSteadyStateRtol(double rtol) {
m_ss_rtol = rtol;
}
//! Set the steady state tolerances used to determine the initial state for
//! surface coverages
void setSteadyStateMaxSteps(int max_steps) {
m_max_ss_steps = max_steps;
}
//! Set the steady state tolerances used to determine the initial state for
//! surface coverages
void setSteadyStateMaxErrorFailures(int max_fails) {
m_max_ss_error_fails = max_fails;
}
//! Return the index in the solution vector for this reactor of the
//! component named *nm*. Possible values for *nm* are "X" (position),
//! "U", the name of a homogeneous phase species, or the name of a surface
//! species.
virtual size_t componentIndex(const std::string& nm) const;
virtual void updateSurfaceState(double* y);
protected:
double m_speed = 0.0;
double m_dist = 0.0;
double m_T = 0.0;
double m_fctr = 1.0e10;
double m_rho0 = 0.0;
double m_speed0 = 0.0;
double m_P0 = 0.0;
double m_h0 = 0.0;
double m_u, m_T, m_P, m_rho;
//! offset to the species equations
const size_t m_non_spec_eq = 4;
//! reactor area [m^2]
double m_area;
//! reactor surface area to volume ratio [m^-1]
double m_sa_to_vol;
//! temporary storage for surface species production rates
vector_fp m_sdot_temp;
//! temporary storage for species partial molar enthalipes
vector_fp m_hk;
//! steady-state relative tolerance, used to determine initial surface coverages
double m_ss_rtol;
//! steady-state absolute tolerance, used to determine initial surface coverages
double m_ss_atol;
//! maximum number of steady-state coverage integrator-steps
int m_max_ss_steps;
//! maximum number of steady-state integrator error test failures
int m_max_ss_error_fails;
};
}

View File

@ -99,6 +99,17 @@ public:
*/
virtual void getState(doublereal* y);
//! Get the current state and derivative vector of the reactor for a DAE solver
/*!
* @param[out] y state vector representing the initial state of the reactor
* @param[out] ydot state vector representing the initial derivatives of the
* reactor
*/
virtual void getState(doublereal* y, doublereal* ydot)
{
throw CanteraError("Reactor::getState", "Not Implemented");
}
virtual void initialize(doublereal t0 = 0.0);
//! Evaluate the reactor governing equations. Called by ReactorNet::eval.
@ -109,6 +120,28 @@ public:
//! coefficients for governing equations, length m_nv, default values 0
virtual void eval(double t, double* LHS, double* RHS);
/*!
* Evaluate the reactor governing equations. Called by ReactorNet::eval.
* @param[in] t time.
* @param[in] y solution vector, length neq()
* @param[in] ydot rate of change of solution vector, length neq()
* @param[in] params sensitivity parameter vector, length ReactorNet::nparams()
* @param[out] residual resisduals vector, length neq()
*/
virtual void evalEqs(doublereal t, doublereal* y,
doublereal* ydot, doublereal* params,
doublereal* residual)
{
throw CanteraError("Reactor::evalEqs", "Not Implemented");
}
//! Given a vector of length neq(), mark which variables should be
//! considered algebraic constraints
virtual void getConstraints(double* constraints) {
throw CanteraError("Reactor::getConstraints", "Not Implemented");
}
virtual void syncState();
//! Set the state of the reactor to correspond to the state vector *y*.

View File

@ -138,7 +138,7 @@ public:
//! Return a reference to the *n*-th Wall connected to this reactor.
WallBase& wall(size_t n);
void addSurface(ReactorSurface* surf);
virtual void addSurface(ReactorSurface* surf);
//! Return a reference to the *n*-th ReactorSurface connected to this
//! reactor

View File

@ -68,7 +68,11 @@ public:
//! sensitivity equations.
void setSensitivityTolerances(double rtol, double atol);
//! @}
//! Set the maximum number of internal integration time-steps the
//! integrator will take before reaching the next output time
//! @param nmax The maximum number of steps, setting this value
//! to zero disables this option.
virtual void setMaxSteps(int nmax);
//! Current value of the simulation time.
doublereal time() {
@ -98,6 +102,13 @@ public:
//! Problem type of integrator
std::string linearSolverType() const;
//! Returns the maximum number of internal integration time-steps the
//! integrator will take before reaching the next output time
//!
virtual int maxSteps() {
return m_nmax;
}
/**
* Advance the state of all reactors in time. Take as many internal
* timesteps as necessary to reach *time*.
@ -200,10 +211,18 @@ public:
virtual void eval(doublereal t, doublereal* y,
doublereal* ydot, doublereal* p);
//! eval coupling for IDA / DAEs
virtual void eval(doublereal t, doublereal* y,
doublereal* ydot, doublereal* p,
doublereal* residaul);
virtual void getState(doublereal* y);
//! Return k-th derivative at the current time
virtual void getDerivative(int k, double* dky);
virtual void getState(doublereal* y, doublereal* ydot);
virtual void getConstraints(doublereal* constraints);
virtual size_t nparams() {
return m_sens_params.size();
@ -322,6 +341,12 @@ protected:
int m_maxErrTestFails = 0;
bool m_verbose = false;
// flag indicating whether this is a flow reactor net or a regular reactor net
bool m_is_dae;
//! The maximum number of steps allowed in the integrator
size_t m_nmax;
//! Names corresponding to each sensitivity parameter
std::vector<std::string> m_paramNames;

View File

@ -55,6 +55,14 @@ cdef extern from "cantera/zerodim.h" namespace "Cantera":
void setMassFlowRate(double) except +translate_exception
double speed()
double distance()
void setArea(double) except +translate_exception
double area() except +translate_exception
void setSurfaceAreaToVolumeRatio(double) except +translate_exception
double surfaceAreaToVolumeRatio() except +translate_exception
void setSteadyStateAtol(double) except +translate_exception
void setSteadyStateRtol(double) except +translate_exception
void setSteadyStateMaxSteps(int) except +translate_exception
void setSteadyStateMaxErrorFailures(int) except +translate_exception
# walls
cdef cppclass CxxWallBase "Cantera::WallBase":

View File

@ -445,21 +445,75 @@ cdef class FlowReactor(Reactor):
"""
reactor_type = "FlowReactor"
def __init__(self, *args, **kwargs):
area = kwargs.pop('area', None)
sa_to_vol = kwargs.pop('surface_area_to_volume_ratio', None)
ss_atol = kwargs.pop('steady_state_atol', None)
ss_rtol = kwargs.pop('steady_state_rtol', None)
ss_max_steps = kwargs.pop('steady_state_max_steps', None)
ss_max_fail = kwargs.pop('steady_state_max_error_failures', None)
super(FlowReactor, self).__init__(*args, **kwargs)
if area is not None:
self.area = area
if sa_to_vol is not None:
self.surface_area_to_volume_ratio = sa_to_vol
if ss_atol is not None:
self.steady_state_atol = ss_atol
if ss_rtol is not None:
self.steady_state_rtol = ss_rtol
if ss_max_steps is not None:
self.steady_state_max_steps = ss_max_steps
if ss_max_fail is not None:
self.steady_state_max_error_failures = ss_max_fail
property mass_flow_rate:
""" Mass flow rate per unit area [kg/m^2*s] """
def __set__(self, double value):
(<CxxFlowReactor*>self.reactor).setMassFlowRate(value)
property area:
""" Get/set the area of the reactor [m^2] """
def __get__(self):
return (<CxxFlowReactor*>self.reactor).area()
def __set__(self, area):
(<CxxFlowReactor*>self.reactor).setArea(area)
property steady_state_atol:
""" Set the steady-state tolerances used to determine the initial surface
species coverages"""
def __set__(self, atol):
(<CxxFlowReactor*>self.reactor).setSteadyStateAtol(atol)
property steady_state_rtol:
""" Set the steady-state tolerances used to determine the initial surface
species coverages"""
def __set__(self, rtol):
(<CxxFlowReactor*>self.reactor).setSteadyStateRtol(rtol)
property steady_state_max_steps:
""" Set the maximum number of integrator steps used to determine the initial surface
species coverages"""
def __set__(self, nsteps):
(<CxxFlowReactor*>self.reactor).setSteadyStateMaxSteps(nsteps)
property steady_state_max_error_failures:
""" Set the maximum number of integrator error failures allowed when determining
the initial surface species coverages"""
def __set__(self, nsteps):
(<CxxFlowReactor*>self.reactor).setSteadyStateMaxErrorFailures(nsteps)
property surface_area_to_volume_ratio:
""" Get/set the surface area to volume ratio of the reactor [m^-1] """
def __get__(self):
return (<CxxFlowReactor*>self.reactor).surfaceAreaToVolumeRatio()
def __set__(self, sa_to_vol):
(<CxxFlowReactor*>self.reactor).setSurfaceAreaToVolumeRatio(sa_to_vol)
property speed:
""" Speed [m/s] of the flow in the reactor at the current position """
def __get__(self):
return (<CxxFlowReactor*>self.reactor).speed()
property distance:
""" The distance of the fluid element from the inlet of the reactor."""
def __get__(self):
return (<CxxFlowReactor*>self.reactor).distance()
cdef class ExtensibleReactor(Reactor):
"""

View File

@ -0,0 +1,115 @@
"""
Solution of a 1-D steady state plug-flow reactor with surface chemistry.
Assumes:
- adiabatic
- frictionless
- constant area, cylindrical reactor
Based off the jupyter notebook created by Yuanjie Jiang
"""
import numpy as np
import cantera as ct
import matplotlib.pyplot as plt
mech = 'SiF4_NH3_mec.yaml'
# import the models for gas and bulk
gas, bulk_si, bulk_n = ct.import_phases(mech, ['gas', 'SiBulk', 'NBulk'])
# import the model for gas-Si-N interface
gas_si_n_interface = ct.Interface(mech, 'SI3N4', [gas, bulk_si, bulk_n])
# Set the initial conditions
T0 = 1713 # K
p0 = 2 * ct.one_atm / 760.0 # Pa ~2Torr
gas.TPX = T0, p0, "NH3:6, SiF4:1"
bulk_si.TP = T0, p0
bulk_n.TP = T0, p0
gas_si_n_interface.TP = T0, p0
D = 5.08e-2 # diameter of the tube [m]
Ac = np.pi * D**2 / 4 # cross section of the tube [m]
mu = 5.7e-5 # kg/(m-s) dynamic viscosity
perim = np.pi * D # perimeter of the tube
# calculate the site fractions of surface species at the entrance of the tube
# at steady state
u0 = 11.53 # m/s initial velocity of the flow
reactor = ct.FlowReactor(gas, area=Ac)
# set the mass flow-rate
reactor.mass_flow_rate = gas.density * u0 * Ac
rsurf = ct.ReactorSurface(gas_si_n_interface, reactor)
net = ct.ReactorNet([reactor])
soln = ct.SolutionArray(gas, extra=['t', 'speed', 'coverages'])
while net.time < 0.7:
net.step()
soln.append(T=reactor.thermo.T,
P=reactor.thermo.P,
X=reactor.thermo.X,
t=net.time,
speed=reactor.speed,
coverages=rsurf.coverages)
f, ax = plt.subplots(4, 2, figsize=(9, 16), dpi=96)
# plot gas velocity along the flow direction
ax[0, 0].plot(soln.t, soln.speed, color='C0')
ax[0, 0].set_xlabel('Distance (m)')
ax[0, 0].set_ylabel('Velocity (m/s)')
# plot gas density along the flow direction
ax[0, 1].plot(soln.t, soln.density, color='C1')
ax[0, 1].set_xlabel('Distance (m)')
ax[0, 1].set_ylabel(r'Density ($\mathregular{kg/m^3}$)')
ax[0, 1].ticklabel_format(axis='y', style='sci',
scilimits=(-2, 2)) # scientific notation
# plot major and minor gas species separately
minor_idx = []
major_idx = []
for i, name in enumerate(gas.species_names):
mean = np.mean(soln(name).Y)
if mean <= 0.01:
minor_idx.append(i)
else:
major_idx.append(i)
# plot minor gas species along the flow direction
for i in minor_idx:
style = '-' if i < 10 else '--'
ax[1, 0].plot(soln.t, soln(gas.species_names[i]).Y,
label=gas.species_names[i], linestyle=style)
ax[1, 0].legend(fontsize=7.5, loc='best')
ax[1, 0].set_xlabel('Distance (m)')
ax[1, 0].set_ylabel('Mass Fraction')
ax[1, 0].ticklabel_format(axis='y', style='sci',
scilimits=(-2, 2)) # scientific notation
# plot major gas species along the flow direction
for j in major_idx:
ax[1, 1].plot(soln.t, soln(gas.species_names[j]).Y,
label=gas.species_names[j])
ax[1, 1].legend(fontsize=8, loc='best')
ax[1, 1].set_xlabel('Distance (m)')
ax[1, 1].set_ylabel('Mass Fraction')
# plot the pressure of the gas along the flow direction
ax[2, 0].plot(soln.t, soln.P, color='C2')
ax[2, 0].set_xlabel('Distance (m)')
ax[2, 0].set_ylabel('Pressure (Pa)')
# plot the site fraction of the surface species along the flow direction
for i, name in enumerate(gas_si_n_interface.species_names):
ax[2, 1].plot(soln.t, soln.coverages[:, i], label=name)
ax[2, 1].legend(fontsize=8)
ax[2, 1].set_xlabel('Distance (m)')
ax[2, 1].set_ylabel('Site Fraction')
# plot the temperature profile along the flow direction
ax[3, 0].plot(soln.t, soln.T[:], color='C3')
ax[3, 0].set_xlabel('Distance (m)')
ax[3, 0].set_ylabel('Temperature (K)')
f.tight_layout(pad=0.5)
plt.show()

View File

@ -9,32 +9,7 @@
#include <iostream>
using namespace std;
#include "sundials/sundials_types.h"
#include "sundials/sundials_math.h"
#include "sundials/sundials_nvector.h"
#include "nvector/nvector_serial.h"
#include "cvodes/cvodes.h"
#if CT_SUNDIALS_USE_LAPACK
#include "sunlinsol/sunlinsol_lapackdense.h"
#include "sunlinsol/sunlinsol_lapackband.h"
#else
#include "sunlinsol/sunlinsol_dense.h"
#include "sunlinsol/sunlinsol_band.h"
#endif
#include "sunlinsol/sunlinsol_spgmr.h"
#include "cvodes/cvodes_direct.h"
#include "cvodes/cvodes_diag.h"
#include "cvodes/cvodes_spils.h"
#define CV_SS 1
#define CV_SV 2
#ifdef SUNDIALS_INDEX_TYPE
// For SUNDIALS >= 3.2.0
typedef SUNDIALS_INDEX_TYPE sd_size_t;
#else
typedef long int sd_size_t;
#endif
#include "cantera/numerics/sundials_headers.h"
namespace {

View File

@ -1,27 +0,0 @@
//! @file DAE_solvers.cpp Factory routine for picking the DAE solver package
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
#include "cantera/base/ct_defs.h"
#include "cantera/numerics/DAE_Solver.h"
#include "cantera/numerics/IDA_Solver.h"
// DAE_DEVEL is turned off at the current time
#define DAE_DEVEL
#ifdef DAE_DEVEL
namespace Cantera
{
DAE_Solver* newDAE_Solver(const std::string& itype, ResidJacEval& f)
{
if (itype == "IDA") {
return new IDA_Solver(f);
} else {
throw CanteraError("newDAE_Solver",
"unknown DAE solver: "+itype);
}
}
}
#endif

View File

@ -37,6 +37,39 @@ int FuncEval::eval_nothrow(double t, double* y, double* ydot)
return 0; // successful evaluation
}
int FuncEval::eval_nothrow(double t, double* y, double* ydot, double* r)
{
try {
eval(t, y, ydot, m_sens_params.data(), r);
} catch (CanteraError& err) {
if (suppressErrors()) {
m_errors.push_back(err.what());
} else {
writelog(err.what());
}
return 1; // possibly recoverable error
} catch (std::exception& err) {
if (suppressErrors()) {
m_errors.push_back(err.what());
} else {
writelog("FuncEval::eval_nothrow: unhandled exception:\n");
writelog(err.what());
writelogendl();
}
return -1; // unrecoverable error
} catch (...) {
std::string msg = "FuncEval::eval_nothrow: unhandled exception"
" of unknown type\n";
if (suppressErrors()) {
m_errors.push_back(msg);
} else {
writelog(msg);
}
return -1; // unrecoverable error
}
return 0; // successful evaluation
}
std::string FuncEval::getErrors() const {
std::stringstream errs;
for (const auto& err : m_errors) {
@ -112,4 +145,14 @@ int FuncEval::preconditioner_solve_nothrow(double* rhs, double* output)
return 0; // successful evaluation
}
void FuncEval::eval(double t, double* y, double* ydot, double* p)
{
throw CanteraError("FuncEval::eval", "Not implemented!");
}
void FuncEval::eval(double t, double* y, double* ydot, double* p, double* residual)
{
throw CanteraError("FuncEval::eval", "Not implemented!");
}
}

View File

@ -0,0 +1,588 @@
//! @file IDAIntegrator.cpp
// This file is part of Cantera. See License.txt in the top-level directory or
// at http://www.cantera.org/license.txt for license and copyright information.
#include "cantera/numerics/IDAIntegrator.h"
#include "cantera/base/stringUtils.h"
#include "cantera/numerics/sundials_headers.h"
using namespace std;
namespace Cantera
{
extern "C" {
//! Function called by IDA to evaluate the residual, given y and ydot.
/*!
* IDA allows passing in a void* pointer to access external data. Instead of
* requiring the user to provide a residual function directly to IDA (which
* would require using the sundials data types N_Vector, etc.), we define
* this function as the single function that IDA always calls. The real
* evaluation of the residual is done by an instance of a subclass of
* ResidEval, passed in to this function as a pointer in the parameters.
*
* FROM IDA WRITEUP -> What the IDA solver expects as a return flag from its
* residual routines:
*
* A IDAResFn res should return a value of 0 if successful, a positive value
* if a recoverable error occured (e.g. yy has an illegal value), or a
* negative value if a nonrecoverable error occured. In the latter case, the
* program halts. If a recoverable error occured, the integrator will
* attempt to correct and retry.
*/
static int ida_rhs(realtype t, N_Vector y, N_Vector ydot, N_Vector r, void* f_data)
{
FuncEval* f = (FuncEval*) f_data;
return f->eval_nothrow(t, NV_DATA_S(y), NV_DATA_S(ydot), NV_DATA_S(r));
}
//! Function called by IDA when an error is encountered instead of
//! writing to stdout. Here, save the error message provided by IDA so
//! that it can be included in the subsequently raised CanteraError.
static void ida_err(int error_code, const char* module,
const char* function, char* msg, void* eh_data)
{
IDAIntegrator* integrator = (IDAIntegrator*) eh_data;
integrator->m_error_message = msg;
integrator->m_error_message += "\n";
}
}
IDAIntegrator::IDAIntegrator() :
m_ida_mem(0),
m_linsol(0),
m_linsol_matrix(0),
m_func(0),
m_t0(0.0),
m_y(0),
m_ydot(0),
m_abstol(0),
m_type(DENSE+NOJAC),
m_itol(IDA_SS),
m_maxord(0),
m_reltol(1.e-9),
m_abstols(1.e-15),
m_nabs(0),
m_hmax(0.0),
m_hmin(0.0),
m_maxsteps(20000),
m_maxErrTestFails(-1),
m_mupper(0),
m_mlower(0),
m_constraints(0),
m_maxNonlinIters(0),
m_maxNonlinConvFails(-1),
m_setSuppressAlg(0),
m_init_step(1.e-14)
{
}
IDAIntegrator::~IDAIntegrator()
{
if (m_ida_mem) {
IDAFree(&m_ida_mem);
}
if (m_y) {
N_VDestroy_Serial(m_y);
}
if (m_ydot) {
N_VDestroy_Serial(m_ydot);
}
if (m_abstol) {
N_VDestroy_Serial(m_abstol);
}
if (m_constraints) {
N_VDestroy_Serial(m_constraints);
}
}
double& IDAIntegrator::solution(size_t k)
{
return NV_Ith_S(m_y,k);
}
double* IDAIntegrator::solution()
{
return NV_DATA_S(m_y);
}
void IDAIntegrator::setTolerances(double reltol, size_t n, double* abstol)
{
m_itol = IDA_SV;
m_nabs = n;
if (n != m_neq) {
if (m_abstol) {
N_VDestroy_Serial(m_abstol);
}
m_abstol = N_VNew_Serial(static_cast<sd_size_t>(n));
}
for (size_t i=0; i<n; i++) {
NV_Ith_S(m_abstol, i) = abstol[i];
}
m_reltol = reltol;
}
void IDAIntegrator::setTolerances(double reltol, double abstol)
{
m_itol = IDA_SS;
m_reltol = reltol;
m_abstols = abstol;
}
void IDAIntegrator::setSensitivityTolerances(double reltol, double abstol)
{
m_reltolsens = reltol;
m_abstolsens = abstol;
}
void IDAIntegrator::setProblemType(int probtype)
{
m_type = probtype;
}
void IDAIntegrator::setMaxStepSize(double hmax)
{
m_hmax = hmax;
if (m_ida_mem) {
IDASetMaxStep(m_ida_mem, hmax);
}
}
void IDAIntegrator::setMaxSteps(int nmax)
{
m_maxsteps = nmax;
if (m_ida_mem) {
IDASetMaxNumSteps(m_ida_mem, m_maxsteps);
}
}
int IDAIntegrator::maxSteps()
{
return m_maxsteps;
}
void IDAIntegrator::setMaxErrTestFails(int n)
{
m_maxErrTestFails = n;
if (m_ida_mem) {
IDASetMaxErrTestFails(m_ida_mem, n);
}
}
void IDAIntegrator::setMaxNonlinIterations(int n)
{
m_maxNonlinIters = n;
if (m_ida_mem)
{
int flag = IDASetMaxNonlinIters(m_ida_mem, m_maxNonlinIters);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init",
"IDASetmaxNonlinIters failed.");
}
}
if (m_setSuppressAlg != 0) {
int flag = IDASetSuppressAlg(m_ida_mem, m_setSuppressAlg);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init", "IDASetSuppressAlg failed.");
}
}
}
void IDAIntegrator::setMaxNonlinConvFailures(int n)
{
m_maxNonlinIters = n;
if (m_ida_mem)
{
int flag = IDASetMaxConvFails(m_ida_mem, m_maxNonlinConvFails);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init",
"IDASetMaxConvFails failed.");
}
}
}
void IDAIntegrator::inclAlgebraicInErrorTest(bool yesno)
{
if (yesno) {
m_setSuppressAlg = 0;
} else {
m_setSuppressAlg = 1;
}
if (m_ida_mem)
{
int flag = IDASetSuppressAlg(m_ida_mem, m_setSuppressAlg);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init", "IDASetSuppressAlg failed.");
}
}
}
void IDAIntegrator::initialize(double t0, FuncEval& func)
{
m_neq = func.neq();
m_t0 = t0;
m_time = t0;
m_func = &func;
func.clearErrors();
if (m_y) {
N_VDestroy_Serial(m_y); // free solution vector if already allocated
}
m_y = N_VNew_Serial(static_cast<sd_size_t>(m_neq)); // allocate solution vector
N_VConst(0.0, m_y);
if (m_ydot)
{
N_VDestroy_Serial(m_ydot); // free derivative vector if already allocated
}
m_ydot = N_VNew_Serial(m_neq);
N_VConst(0.0, m_ydot);
// check abs tolerance array size
if (m_itol == IDA_SV && m_nabs < m_neq) {
throw CanteraError("IDAIntegrator::initialize",
"not enough absolute tolerance values specified.");
}
if (m_constraints) {
N_VDestroy_Serial(m_constraints);
}
m_constraints = N_VNew_Serial(static_cast<sd_size_t>(m_neq));
// set the constraints
func.getConstraints(NV_DATA_S(m_constraints));
// get the initial conditions
func.getState(NV_DATA_S(m_y), NV_DATA_S(m_ydot));
if (m_ida_mem) {
IDAFree(&m_ida_mem);
}
//! Create the IDA solver
m_ida_mem = IDACreate();
if (!m_ida_mem) {
throw CanteraError("IDAIntegrator::initialize",
"IDACreate failed.");
}
int flag = IDAInit(m_ida_mem, ida_rhs, m_t0, m_y, m_ydot);
if (flag != IDA_SUCCESS) {
if (flag == IDA_MEM_FAIL) {
throw CanteraError("IDAIntegrator::initialize",
"Memory allocation failed.");
} else if (flag == IDA_ILL_INPUT) {
throw CanteraError("IDAIntegrator::initialize",
"Illegal value for IDAInit input argument.");
} else {
throw CanteraError("IDAIntegrator::initialize",
"IDAInit failed.");
}
}
// set constraints
flag = IDASetId(m_ida_mem, m_constraints);
if (flag != IDA_SUCCESS) {
if (flag == IDA_MEM_NULL) {
throw CanteraError("IDAIntegrator::initialize",
"Memory allocation failed.");
} else {
throw CanteraError("IDAIntegrator::initialize",
"IDASetId failed.");
}
}
flag = IDASetErrHandlerFn(m_ida_mem, &ida_err, this);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::initialize",
"IDASetErrHandlerFn failed.");
}
if (m_itol == IDA_SV) {
flag = IDASVtolerances(m_ida_mem, m_reltol, m_abstol);
} else {
flag = IDASStolerances(m_ida_mem, m_reltol, m_abstols);
}
if (flag != IDA_SUCCESS) {
if (flag == IDA_MEM_FAIL) {
throw CanteraError("IDAIntegrator::initialize",
"Memory allocation failed.");
} else if (flag == IDA_ILL_INPUT) {
throw CanteraError("IDAIntegrator::initialize",
"Illegal value for IDAInit input argument.");
} else {
throw CanteraError("IDAIntegrator::initialize",
"IDAInit failed.");
}
}
flag = IDASetUserData(m_ida_mem, &func);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::initialize",
"IDASetUserData failed.");
}
applyOptions();
}
void IDAIntegrator::reinitialize(double t0, FuncEval& func)
{
m_t0 = t0;
m_time = t0;
func.getState(NV_DATA_S(m_y));
m_func = &func;
func.clearErrors();
int result = IDAReInit(m_ida_mem, m_t0, m_y, m_ydot);
if (result != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::reinitialize",
"IDAReInit failed. result = {}", result);
}
applyOptions();
}
void IDAIntegrator::applyOptions()
{
if (m_type == DENSE + NOJAC) {
sd_size_t N = static_cast<sd_size_t>(m_neq);
#if CT_SUNDIALS_VERSION >= 30
SUNLinSolFree((SUNLinearSolver) m_linsol);
SUNMatDestroy((SUNMatrix) m_linsol_matrix);
m_linsol_matrix = SUNDenseMatrix(N, N);
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLapackDense(m_y, (SUNMatrix) m_linsol_matrix);
#else
m_linsol = SUNDenseLinearSolver(m_y, (SUNMatrix) m_linsol_matrix);
#endif
IDADlsSetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#else
#if CT_SUNDIALS_USE_LAPACK
IDALapackDense(m_ida_mem, N);
#else
IDADense(m_ida_mem, N);
#endif
#endif
} else if (m_type == DIAG) {
throw CanteraError("IDAIntegrator::applyOptions",
"Cannot use a diagonal matrix with IDA.");
} else if (m_type == GMRES) {
#if CT_SUNDIALS_VERSION >= 30
m_linsol = SUNSPGMR(m_y, PREC_NONE, 0);
IDASpilsSetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol);
#else
IDASpgmr(m_ida_mem, PREC_NONE, 0);
#endif
} else if (m_type == BAND + NOJAC) {
sd_size_t N = static_cast<sd_size_t>(m_neq);
long int nu = m_mupper;
long int nl = m_mlower;
#if CT_SUNDIALS_VERSION >= 30
SUNLinSolFree((SUNLinearSolver) m_linsol);
SUNMatDestroy((SUNMatrix) m_linsol_matrix);
m_linsol_matrix = SUNBandMatrix(N, nu, nl, nu+nl);
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLapackBand(m_y, (SUNMatrix) m_linsol_matrix);
#else
m_linsol = SUNBandLinearSolver(m_y, (SUNMatrix) m_linsol_matrix);
#endif
IDADlsSetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#else
#if CT_SUNDIALS_USE_LAPACK
IDALapackBand(m_ida_mem, N, nu, nl);
#else
IDABand(m_ida_mem, N, nu, nl);
#endif
#endif
} else {
throw CanteraError("IDAIntegrator::applyOptions",
"unsupported option");
}
if (m_init_step > 0) {
IDASetInitStep(m_ida_mem, m_init_step);
}
if (m_maxord > 0) {
IDASetMaxOrd(m_ida_mem, m_maxord);
}
if (m_maxsteps > 0) {
IDASetMaxNumSteps(m_ida_mem, m_maxsteps);
}
if (m_hmax > 0) {
IDASetMaxStep(m_ida_mem, m_hmax);
}
if (m_maxNonlinIters > 0) {
int flag = IDASetMaxNonlinIters(m_ida_mem, m_maxNonlinIters);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init",
"IDASetmaxNonlinIters failed.");
}
}
if (m_maxNonlinConvFails > 0) {
int flag = IDASetMaxConvFails(m_ida_mem, m_maxNonlinConvFails);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init",
"IDASetMaxConvFails failed.");
}
}
if (m_setSuppressAlg != 0) {
int flag = IDASetSuppressAlg(m_ida_mem, m_setSuppressAlg);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::init", "IDASetSuppressAlg failed.");
}
}
}
void IDAIntegrator::sensInit(double t0, FuncEval& func)
{
m_np = func.nparams();
m_sens_ok = false;
N_Vector y = N_VNew_Serial(static_cast<sd_size_t>(func.neq()));
m_yS = N_VCloneVectorArray_Serial(static_cast<sd_size_t>(m_np), y);
for (size_t n = 0; n < m_np; n++) {
N_VConst(0.0, m_yS[n]);
}
N_VDestroy_Serial(y);
N_Vector ydot = N_VNew_Serial(static_cast<sd_size_t>(func.neq()));
m_ySdot = N_VCloneVectorArray_Serial(static_cast<sd_size_t>(m_np), ydot);
for (size_t n = 0; n < m_np; n++) {
N_VConst(0.0, m_ySdot[n]);
}
int flag = IDASensInit(m_ida_mem, static_cast<sd_size_t>(m_np),
IDA_STAGGERED, IDASensResFn(0), m_yS, m_ySdot);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::sensInit", "Error in IDASensInit");
}
vector_fp atol(m_np);
for (size_t n = 0; n < m_np; n++) {
// This scaling factor is tuned so that reaction and species enthalpy
// sensitivities can be computed simultaneously with the same abstol.
atol[n] = m_abstolsens / func.m_paramScales[n];
}
flag = IDASensSStolerances(m_ida_mem, m_reltolsens, atol.data());
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::sensInit", "Error in IDASensSStolerances");
}
}
void IDAIntegrator::integrate(double tout)
{
if (tout == m_time) {
return;
}
int flag = IDASolve(m_ida_mem, tout, &m_time, m_y, m_ydot, IDA_NORMAL);
if (flag != IDA_SUCCESS) {
string f_errs = m_func->getErrors();
if (!f_errs.empty()) {
f_errs = "Exceptions caught during RHS evaluation:\n" + f_errs;
}
throw CanteraError("IDAIntegrator::integrate",
"IDA error encountered. Error code: {}\n{}\n"
"{}"
"Components with largest weighted error estimates:\n{}",
flag, m_error_message, f_errs, getErrorInfo(10));
}
}
double IDAIntegrator::step(double tout)
{
int flag = IDASolve(m_ida_mem, tout, &m_time, m_y, m_ydot, IDA_ONE_STEP);
if (flag != IDA_SUCCESS) {
string f_errs = m_func->getErrors();
if (!f_errs.empty()) {
f_errs = "Exceptions caught during RHS evaluation:\n" + f_errs;
}
throw CanteraError("IDAIntegrator::step",
"IDA error encountered. Error code: {}\n{}\n"
"{}"
"Components with largest weighted error estimates:\n{}",
flag, f_errs, m_error_message, getErrorInfo(10));
}
return m_time;
}
int IDAIntegrator::nEvals() const
{
// neither IDAGetNumRhsEvals, IDADlsGetNumRhsEvals, IDASpilsGetNumRhsEvals,
// or IDAGetNumLinResEvals seem to exist
throw CanteraError("IDAIntegrator::nEvals",
"Not implemented.");
}
double IDAIntegrator::sensitivity(size_t k, size_t p)
{
if (m_time == m_t0) {
// calls to IDAGetSens are only allowed after a successful time step.
return 0.0;
}
if (!m_sens_ok && m_np) {
int flag = IDAGetSens(m_ida_mem, &m_time, m_yS);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDAIntegrator::sensitivity",
"IDAGetSens failed. Error code: {}", flag);
}
m_sens_ok = true;
}
if (k >= m_neq) {
throw CanteraError("IDAIntegrator::sensitivity",
"sensitivity: k out of range ({})", k);
}
if (p >= m_np) {
throw CanteraError("IDAIntegrator::sensitivity",
"sensitivity: p out of range ({})", p);
}
return NV_Ith_S(m_yS[p],k);
}
string IDAIntegrator::getErrorInfo(int N)
{
N_Vector errs = N_VNew_Serial(static_cast<sd_size_t>(m_neq));
N_Vector errw = N_VNew_Serial(static_cast<sd_size_t>(m_neq));
IDAGetErrWeights(m_ida_mem, errw);
IDAGetEstLocalErrors(m_ida_mem, errs);
vector<tuple<double, double, size_t> > weightedErrors;
for (size_t i=0; i<m_neq; i++) {
double err = NV_Ith_S(errs, i) * NV_Ith_S(errw, i);
weightedErrors.emplace_back(-abs(err), err, i);
}
N_VDestroy(errs);
N_VDestroy(errw);
N = std::min(N, static_cast<int>(m_neq));
sort(weightedErrors.begin(), weightedErrors.end());
fmt::memory_buffer s;
for (int i=0; i<N; i++) {
fmt_append(s, "{}: {}\n",
get<2>(weightedErrors[i]), get<1>(weightedErrors[i]));
}
return to_string(s);
}
void IDAIntegrator::setMethod(MethodType t)
{
if (t != BDF_Method) {
// IDA only has the BDF method
throw CanteraError("IDAIntegrator::setMethod", "unknown method");
}
}
void IDAIntegrator::setIterator(IterType t)
{
if (t != Newton_Iter) {
// IDA only has the newton iterator
throw CanteraError("IDAIntegrator::setIterator", "unknown iterator");
}
}
}

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@ -1,656 +0,0 @@
//! @file IDA_Solver.cpp
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
#include "cantera/numerics/IDA_Solver.h"
#include "cantera/base/stringUtils.h"
#include "sundials/sundials_types.h"
#include "sundials/sundials_math.h"
#include "ida/ida.h"
#if CT_SUNDIALS_USE_LAPACK
#include "sunlinsol/sunlinsol_lapackdense.h"
#include "sunlinsol/sunlinsol_lapackband.h"
#else
#include "sunlinsol/sunlinsol_dense.h"
#include "sunlinsol/sunlinsol_band.h"
#endif
#include "sunlinsol/sunlinsol_spgmr.h"
#include "ida/ida_direct.h"
#include "ida/ida_spils.h"
#include "nvector/nvector_serial.h"
typedef long int sd_size_t;
namespace Cantera
{
//! A simple class to hold an array of parameter values and a pointer to an
//! instance of a subclass of ResidEval.
class ResidData
{
public:
ResidData(ResidJacEval* f, IDA_Solver* s, int npar = 0) {
m_func = f;
m_solver = s;
}
virtual ~ResidData() {
}
ResidJacEval* m_func;
IDA_Solver* m_solver;
};
}
extern "C" {
//! Function called by IDA to evaluate the residual, given y and ydot.
/*!
* IDA allows passing in a void* pointer to access external data. Instead of
* requiring the user to provide a residual function directly to IDA (which
* would require using the sundials data types N_Vector, etc.), we define
* this function as the single function that IDA always calls. The real
* evaluation of the residual is done by an instance of a subclass of
* ResidEval, passed in to this function as a pointer in the parameters.
*
* FROM IDA WRITEUP -> What the IDA solver expects as a return flag from its
* residual routines:
*
* A IDAResFn res should return a value of 0 if successful, a positive value
* if a recoverable error occurred (for example, yy has an illegal value), or a
* negative value if a nonrecoverable error occurred. In the latter case, the
* program halts. If a recoverable error occurred, the integrator will
* attempt to correct and retry.
*/
static int ida_resid(realtype t, N_Vector y, N_Vector ydot, N_Vector r, void* f_data)
{
Cantera::ResidData* d = (Cantera::ResidData*) f_data;
Cantera::ResidJacEval* f = d->m_func;
Cantera::IDA_Solver* s = d->m_solver;
double delta_t = s->getCurrentStepFromIDA();
// TODO evaluate evalType. Assumed to be Base_ResidEval
int flag = f->evalResidNJ(t, delta_t, NV_DATA_S(y), NV_DATA_S(ydot),
NV_DATA_S(r));
if (flag < 0) {
// This signals to IDA that a nonrecoverable error has occurred.
return flag;
} else {
return 0;
}
}
//! Function called by by IDA to evaluate the Jacobian, given y and ydot.
/*!
* typedef int (*IDADlsDenseJacFn)(sd_size_t N, realtype t, realtype c_j,
* N_Vector y, N_Vector yp, N_Vector r,
* DlsMat Jac, void *user_data,
* N_Vector tmp1, N_Vector tmp2, N_Vector tmp3);
*
* A IDADlsDenseJacFn should return
* - 0 if successful,
* - a positive int if a recoverable error occurred, or
* - a negative int if a nonrecoverable error occurred.
*
* In the case of a recoverable error return, the integrator will attempt to
* recover by reducing the stepsize (which changes cj).
*/
static int ida_jacobian(realtype t, realtype c_j, N_Vector y, N_Vector yp,
N_Vector r, SUNMatrix Jac, void *f_data,
N_Vector tmp1, N_Vector tmp2, N_Vector tmp3)
{
Cantera::ResidData* d = (Cantera::ResidData*) f_data;
Cantera::ResidJacEval* f = d->m_func;
Cantera::IDA_Solver* s = d->m_solver;
double delta_t = s->getCurrentStepFromIDA();
double** cols;
if (SUNMatGetID(Jac) == SUNMATRIX_DENSE) {
cols = SM_COLS_D(Jac);
} else if (SUNMatGetID(Jac) == SUNMATRIX_BAND) {
cols = SM_COLS_B(Jac);
} else {
return 1; // Unknown SUNMatrix type
}
f->evalJacobianDP(t, delta_t, c_j, NV_DATA_S(y), NV_DATA_S(yp),
cols, NV_DATA_S(r));
return 0;
}
}
namespace Cantera
{
IDA_Solver::IDA_Solver(ResidJacEval& f) :
DAE_Solver(f)
{
}
IDA_Solver::~IDA_Solver()
{
if (m_ida_mem) {
IDAFree(&m_ida_mem);
}
if (m_y) {
N_VDestroy_Serial(m_y);
}
if (m_ydot) {
N_VDestroy_Serial(m_ydot);
}
if (m_abstol) {
N_VDestroy_Serial(m_abstol);
}
if (m_constraints) {
N_VDestroy_Serial(m_constraints);
}
}
doublereal IDA_Solver::solution(int k) const
{
return NV_Ith_S(m_y,k);
}
const doublereal* IDA_Solver::solutionVector() const
{
return NV_DATA_S(m_y);
}
doublereal IDA_Solver::derivative(int k) const
{
return NV_Ith_S(m_ydot,k);
}
const doublereal* IDA_Solver::derivativeVector() const
{
return NV_DATA_S(m_ydot);
}
void IDA_Solver::setTolerances(double reltol, double* abstol)
{
m_itol = IDA_SV;
if (!m_abstol) {
#if CT_SUNDIALS_VERSION >= 60
m_abstol = N_VNew_Serial(m_neq, m_sundials_ctx.get());
#else
m_abstol = N_VNew_Serial(m_neq);
#endif
}
for (int i = 0; i < m_neq; i++) {
NV_Ith_S(m_abstol, i) = abstol[i];
}
m_reltol = reltol;
if (m_ida_mem) {
int flag = IDASVtolerances(m_ida_mem, m_reltol, m_abstol);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::setTolerances",
"Memory allocation failed.");
}
}
}
void IDA_Solver::setTolerances(doublereal reltol, doublereal abstol)
{
m_itol = IDA_SS;
m_reltol = reltol;
m_abstols = abstol;
if (m_ida_mem) {
int flag = IDASStolerances(m_ida_mem, m_reltol, m_abstols);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::setTolerances",
"Memory allocation failed.");
}
}
}
void IDA_Solver::setLinearSolverType(int solverType)
{
m_type = solverType;
}
void IDA_Solver::setDenseLinearSolver()
{
setLinearSolverType(0);
}
void IDA_Solver::setBandedLinearSolver(int m_upper, int m_lower)
{
m_type = 2;
m_upper = m_mupper;
m_mlower = m_lower;
}
void IDA_Solver::setMaxOrder(int n)
{
m_maxord = n;
}
void IDA_Solver::setMaxNumSteps(int n)
{
m_maxsteps = n;
}
void IDA_Solver::setInitialStepSize(doublereal h0)
{
m_h0 = h0;
}
void IDA_Solver::setStopTime(doublereal tstop)
{
m_tstop = tstop;
}
doublereal IDA_Solver::getCurrentStepFromIDA()
{
doublereal hcur;
IDAGetCurrentStep(m_ida_mem, &hcur);
return hcur;
}
void IDA_Solver::setJacobianType(int formJac)
{
m_formJac = formJac;
if (m_ida_mem && m_formJac == 1) {
#if CT_SUNDIALS_VERSION >= 60
int flag = IDASetJacFn(m_ida_mem, ida_jacobian);
#else
int flag = IDADlsSetJacFn(m_ida_mem, ida_jacobian);
#endif
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::setJacobianType",
"IDADlsSetDenseJacFn failed.");
}
}
}
void IDA_Solver::setMaxErrTestFailures(int maxErrTestFails)
{
m_maxErrTestFails = maxErrTestFails;
}
void IDA_Solver::setMaxNonlinIterations(int n)
{
m_maxNonlinIters = n;
}
void IDA_Solver::setMaxNonlinConvFailures(int n)
{
m_maxNonlinConvFails = n;
}
void IDA_Solver::inclAlgebraicInErrorTest(bool yesno)
{
if (yesno) {
m_setSuppressAlg = 0;
} else {
m_setSuppressAlg = 1;
}
}
void IDA_Solver::init(doublereal t0)
{
m_t0 = t0;
m_told = t0;
m_told_old = t0;
m_tcurrent = t0;
if (m_y) {
N_VDestroy_Serial(m_y);
}
if (m_ydot) {
N_VDestroy_Serial(m_ydot);
}
if (m_id) {
N_VDestroy_Serial(m_id);
}
if (m_constraints) {
N_VDestroy_Serial(m_constraints);
}
#if CT_SUNDIALS_VERSION >= 60
m_y = N_VNew_Serial(m_neq, m_sundials_ctx.get());
m_ydot = N_VNew_Serial(m_neq, m_sundials_ctx.get());
m_constraints = N_VNew_Serial(m_neq, m_sundials_ctx.get());
#else
m_y = N_VNew_Serial(m_neq);
m_ydot = N_VNew_Serial(m_neq);
m_constraints = N_VNew_Serial(m_neq);
#endif
for (int i=0; i<m_neq; i++) {
NV_Ith_S(m_y, i) = 0.0;
NV_Ith_S(m_ydot, i) = 0.0;
NV_Ith_S(m_constraints, i) = 0.0;
}
// get the initial conditions
m_resid.getInitialConditions(m_t0, NV_DATA_S(m_y), NV_DATA_S(m_ydot));
if (m_ida_mem) {
IDAFree(&m_ida_mem);
}
/* Call IDACreate */
#if CT_SUNDIALS_VERSION >= 60
m_ida_mem = IDACreate(m_sundials_ctx.get());
#else
m_ida_mem = IDACreate();
#endif
int flag = 0;
if (m_itol == IDA_SV) {
flag = IDAInit(m_ida_mem, ida_resid, m_t0, m_y, m_ydot);
if (flag != IDA_SUCCESS) {
if (flag == IDA_MEM_FAIL) {
throw CanteraError("IDA_Solver::init",
"Memory allocation failed.");
} else if (flag == IDA_ILL_INPUT) {
throw CanteraError("IDA_Solver::init",
"Illegal value for IDAInit input argument.");
} else {
throw CanteraError("IDA_Solver::init", "IDAInit failed.");
}
}
flag = IDASVtolerances(m_ida_mem, m_reltol, m_abstol);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "Memory allocation failed.");
}
} else {
flag = IDAInit(m_ida_mem, ida_resid, m_t0, m_y, m_ydot);
if (flag != IDA_SUCCESS) {
if (flag == IDA_MEM_FAIL) {
throw CanteraError("IDA_Solver::init",
"Memory allocation failed.");
} else if (flag == IDA_ILL_INPUT) {
throw CanteraError("IDA_Solver::init",
"Illegal value for IDAInit input argument.");
} else {
throw CanteraError("IDA_Solver::init", "IDAInit failed.");
}
}
flag = IDASStolerances(m_ida_mem, m_reltol, m_abstols);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "Memory allocation failed.");
}
}
// set the linear solver type
if (m_type == 1 || m_type == 0) {
long int N = m_neq;
int flag;
SUNLinSolFree((SUNLinearSolver) m_linsol);
SUNMatDestroy((SUNMatrix) m_linsol_matrix);
#if CT_SUNDIALS_VERSION >= 60
m_linsol_matrix = SUNDenseMatrix(N, N, m_sundials_ctx.get());
#else
m_linsol_matrix = SUNDenseMatrix(N, N);
#endif
if (m_linsol_matrix == nullptr) {
throw CanteraError("IDA_Solver::init",
"Unable to create SUNDenseMatrix of size {0} x {0}", N);
}
#if CT_SUNDIALS_VERSION >= 60
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLinSol_LapackDense(m_y, (SUNMatrix) m_linsol_matrix,
m_sundials_ctx.get());
#else
m_linsol = SUNLinSol_Dense(m_y, (SUNMatrix) m_linsol_matrix,
m_sundials_ctx.get());
#endif
flag = IDASetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#else
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLapackDense(m_y, (SUNMatrix) m_linsol_matrix);
#else
m_linsol = SUNDenseLinearSolver(m_y, (SUNMatrix) m_linsol_matrix);
#endif
flag = IDADlsSetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#endif
if (flag) {
throw CanteraError("IDA_Solver::init", "IDADense failed");
}
} else if (m_type == 2) {
long int N = m_neq;
long int nu = m_mupper;
long int nl = m_mlower;
SUNLinSolFree((SUNLinearSolver) m_linsol);
SUNMatDestroy((SUNMatrix) m_linsol_matrix);
#if CT_SUNDIALS_VERSION >= 60
m_linsol_matrix = SUNBandMatrix(N, nu, nl, m_sundials_ctx.get());
#elif CT_SUNDIALS_VERSION >= 40
m_linsol_matrix = SUNBandMatrix(N, nu, nl);
#else
m_linsol_matrix = SUNBandMatrix(N, nu, nl, nu+nl);
#endif
if (m_linsol_matrix == nullptr) {
throw CanteraError("IDA_Solver::init",
"Unable to create SUNBandMatrix of size {} with bandwidths "
"{} and {}", N, nu, nl);
}
#if CT_SUNDIALS_VERSION >= 60
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLinSol_LapackBand(m_y, (SUNMatrix) m_linsol_matrix,
m_sundials_ctx.get());
#else
m_linsol = SUNLinSol_Band(m_y, (SUNMatrix) m_linsol_matrix,
m_sundials_ctx.get());
#endif
IDASetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#else
#if CT_SUNDIALS_USE_LAPACK
m_linsol = SUNLapackBand(m_y, (SUNMatrix) m_linsol_matrix);
#else
m_linsol = SUNBandLinearSolver(m_y, (SUNMatrix) m_linsol_matrix);
#endif
IDADlsSetLinearSolver(m_ida_mem, (SUNLinearSolver) m_linsol,
(SUNMatrix) m_linsol_matrix);
#endif
} else {
throw CanteraError("IDA_Solver::init",
"unsupported linear solver type");
}
if (m_formJac == 1) {
#if CT_SUNDIALS_VERSION >= 60
flag = IDASetJacFn(m_ida_mem, ida_jacobian);
#else
flag = IDADlsSetJacFn(m_ida_mem, ida_jacobian);
#endif
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init",
"IDADlsSetDenseJacFn failed.");
}
}
// pass a pointer to func in m_data
m_fdata = make_unique<ResidData>(&m_resid, this, m_resid.nparams());
flag = IDASetUserData(m_ida_mem, m_fdata.get());
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetUserData failed.");
}
// set options
if (m_maxord > 0) {
flag = IDASetMaxOrd(m_ida_mem, m_maxord);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetMaxOrd failed.");
}
}
if (m_maxsteps > 0) {
flag = IDASetMaxNumSteps(m_ida_mem, m_maxsteps);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetMaxNumSteps failed.");
}
}
if (m_h0 > 0.0) {
flag = IDASetInitStep(m_ida_mem, m_h0);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetInitStep failed.");
}
}
if (m_tstop > 0.0) {
flag = IDASetStopTime(m_ida_mem, m_tstop);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetStopTime failed.");
}
}
if (m_maxErrTestFails >= 0) {
flag = IDASetMaxErrTestFails(m_ida_mem, m_maxErrTestFails);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init",
"IDASetMaxErrTestFails failed.");
}
}
if (m_maxNonlinIters > 0) {
flag = IDASetMaxNonlinIters(m_ida_mem, m_maxNonlinIters);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init",
"IDASetmaxNonlinIters failed.");
}
}
if (m_maxNonlinConvFails >= 0) {
flag = IDASetMaxConvFails(m_ida_mem, m_maxNonlinConvFails);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init",
"IDASetMaxConvFails failed.");
}
}
if (m_setSuppressAlg != 0) {
flag = IDASetSuppressAlg(m_ida_mem, m_setSuppressAlg);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::init", "IDASetSuppressAlg failed.");
}
}
}
void IDA_Solver::correctInitial_Y_given_Yp(doublereal* y, doublereal* yp, doublereal tout)
{
doublereal tout1 = tout;
if (tout == 0.0) {
double h0 = 1.0E-5;
if (m_h0 > 0.0) {
h0 = m_h0;
}
tout1 = m_t0 + h0;
}
int flag = IDACalcIC(m_ida_mem, IDA_Y_INIT, tout1);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::correctInitial_Y_given_Yp",
"IDACalcIC failed: error = {}", flag);
}
flag = IDAGetConsistentIC(m_ida_mem, m_y, m_ydot);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::correctInitial_Y_given_Yp",
"IDAGetSolution failed: error = {}", flag);
}
for (int i = 0; i < m_neq; i++) {
y[i] = NV_Ith_S(m_y, i);
yp[i] = NV_Ith_S(m_ydot, i);
}
}
void IDA_Solver::correctInitial_YaYp_given_Yd(doublereal* y, doublereal* yp, doublereal tout)
{
int icopt = IDA_YA_YDP_INIT;
doublereal tout1 = tout;
if (tout == 0.0) {
double h0 = 1.0E-5;
if (m_h0 > 0.0) {
h0 = m_h0;
}
tout1 = m_t0 + h0;
}
int flag = IDACalcIC(m_ida_mem, icopt, tout1);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::correctInitial_YaYp_given_Yd",
"IDACalcIC failed: error = {}", flag);
}
flag = IDAGetConsistentIC(m_ida_mem, m_y, m_ydot);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::correctInitial_YaYp_given_Yd",
"IDAGetSolution failed: error = {}", flag);
}
for (int i = 0; i < m_neq; i++) {
y[i] = NV_Ith_S(m_y, i);
yp[i] = NV_Ith_S(m_ydot, i);
}
}
int IDA_Solver::solve(double tout)
{
double tretn = tout - 1000;
int flag;
flag = IDASetStopTime(m_ida_mem, tout);
if (flag != IDA_SUCCESS) {
throw CanteraError("IDA_Solver::solve", "IDA error encountered.");
}
while (tretn < tout) {
if (tout <= m_tcurrent) {
throw CanteraError("IDA_Solver::solve", "tout <= tcurrent");
}
m_told_old = m_told;
m_told = m_tcurrent;
flag = IDASolve(m_ida_mem, tout, &tretn, m_y, m_ydot, IDA_ONE_STEP);
if (flag < 0) {
throw CanteraError("IDA_Solver::solve", "IDA error encountered.");
} else if (flag == IDA_TSTOP_RETURN) {
// we've reached our goal, and have actually integrated past it
} else if (flag == IDA_ROOT_RETURN) {
// not sure what to do with this yet
} else if (flag == IDA_WARNING) {
throw CanteraError("IDA_Solver::solve", "IDA Warning encountered.");
}
m_tcurrent = tretn;
m_deltat = m_tcurrent - m_told;
};
if (flag != IDA_SUCCESS && flag != IDA_TSTOP_RETURN) {
throw CanteraError("IDA_Solver::solve", "IDA error encountered.");
}
return flag;
}
double IDA_Solver::step(double tout)
{
double t;
int flag;
if (tout <= m_tcurrent) {
throw CanteraError("IDA_Solver::step", "tout <= tcurrent");
}
m_told_old = m_told;
m_told = m_tcurrent;
flag = IDASolve(m_ida_mem, tout, &t, m_y, m_ydot, IDA_ONE_STEP);
if (flag < 0) {
throw CanteraError("IDA_Solver::step", "IDA error encountered.");
} else if (flag == IDA_TSTOP_RETURN) {
// we've reached our goal, and have actually integrated past it
} else if (flag == IDA_ROOT_RETURN) {
// not sure what to do with this yet
} else if (flag == IDA_WARNING) {
throw CanteraError("IDA_Solver::step", "IDA Warning encountered.");
}
m_tcurrent = t;
m_deltat = m_tcurrent - m_told;
return t;
}
doublereal IDA_Solver::getOutputParameter(int flag) const
{
long int lenrw, leniw;
switch (flag) {
case REAL_WORKSPACE_SIZE:
flag = IDAGetWorkSpace(m_ida_mem, &lenrw, &leniw);
return doublereal(lenrw);
break;
}
return 0.0;
}
}

View File

@ -1,4 +1,4 @@
//! @file ODE_integrators.cpp
//! @file Integrators.cpp
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
@ -6,6 +6,7 @@
#include "cantera/base/ct_defs.h"
#include "cantera/numerics/Integrator.h"
#include "cantera/numerics/CVodesIntegrator.h"
#include "cantera/numerics/IDAIntegrator.h"
namespace Cantera
{
@ -14,9 +15,11 @@ Integrator* newIntegrator(const std::string& itype)
{
if (itype == "CVODE") {
return new CVodesIntegrator();
} else if (itype == "IDA") {
return new IDAIntegrator();
} else {
throw CanteraError("newIntegrator",
"unknown ODE integrator: "+itype);
"unknown integrator: "+itype);
}
return 0;
}

View File

@ -1,4 +1,5 @@
//! @file FlowReactor.cpp A steady-state plug flow reactor
//! @file FlowReactor.cpp A steady-state, ideal-gas, adiabatic,
//! constant-area (cylindrical), frictionless plug flow reactor
// This file is part of Cantera. See License.txt in the top-level directory or
// at https://cantera.org/license.txt for license and copyright information.
@ -7,86 +8,351 @@
#include "cantera/base/global.h"
#include "cantera/kinetics/Kinetics.h"
#include "cantera/thermo/ThermoPhase.h"
#include "cantera/zeroD/ReactorSurface.h"
#include "cantera/thermo/SurfPhase.h"
#include "cantera/numerics/DenseMatrix.h"
#include "cantera/kinetics/InterfaceKinetics.h"
using namespace std;
namespace Cantera
{
void FlowReactor::getState(double* y)
FlowReactor::FlowReactor(double area, double sa_to_vol,
double ss_atol, double ss_rtol,
int max_ss_steps,
int max_ss_error_fails) :
m_u(0.0),
m_T(0.0),
m_area(area),
m_sa_to_vol(sa_to_vol),
m_sdot_temp(0),
m_hk(0),
m_ss_rtol(ss_rtol),
m_ss_atol(ss_atol),
m_max_ss_steps(max_ss_steps),
m_max_ss_error_fails(max_ss_error_fails)
{
}
void FlowReactor::getState(double* y, double* ydot)
{
if (m_thermo == 0) {
throw CanteraError("FlowReactor::getState",
"Error: reactor is empty.");
}
m_thermo->restoreState(m_state);
m_thermo->getMassFractions(y+2);
y[0] = 0.0; // distance
m_thermo->getMassFractions(y+m_non_spec_eq);
const vector_fp& mw = m_thermo->molecularWeights();
// set the first component to the initial density
y[0] = m_rho;
// set the second component to the initial speed
y[1] = m_speed0;
y[1] = m_u;
// set the fourth component to the initial pressure
y[2] = m_P;
// set the third component to the initial temperature
y[3] = m_T;
if (m_chem) {
m_kin->getNetProductionRates(&m_wdot[0]); // "omega dot"
}
// need to advance the reactor surface to steady state to get the initial
// coverages
for (auto &m_surf : m_surfaces)
{
auto *kin = static_cast<InterfaceKinetics*>(m_surf->kinetics());
kin->advanceCoverages(100.0, m_ss_rtol, m_ss_atol, 0, m_max_ss_steps,
m_max_ss_error_fails);
auto *surf = static_cast<SurfPhase*>(&kin->thermo(kin->reactionPhaseIndex()));
vector_fp cov(surf->nSpecies());
surf->getCoverages(&cov[0]);
m_surf->setCoverages(&cov[0]);
m_surf->syncCoverages();
}
// set the initial coverages
getSurfaceInitialConditions(y + m_non_spec_eq + m_nsp);
// reset ydot vector
std::fill(ydot, ydot + m_nv, 0.0);
// calculate initial d(coverage)/dt values
evalSurfaces(0, ydot + m_non_spec_eq + m_nsp);
// next, we must solve for the initial derivative values
// a . ydot = b
// ydot -> [rho', u', P', T', Yk']
// a -> coefficients of [rho', u', P', T', Yk'] in the governing eq's, given
// the initial state
// b -> rhs constant of each conservation equation
//
// note that the species coverages are included in the algebraic constraints,
// hence are not included ehre
DenseMatrix a;
a.resize(m_non_spec_eq + m_nsp, m_non_spec_eq + m_nsp, 0.0);
// first row is the ideal gas equation
a(0, 0) = - GasConstant * m_T / m_thermo->meanMolecularWeight();
a(0, 2) = 1;
a(0, 3) = - m_rho * GasConstant / m_thermo->meanMolecularWeight();
for (size_t i = 0; i < m_nsp; ++i)
{
a(0, m_non_spec_eq + i) = - m_rho * m_T / mw[i];
}
// initialize the second row from mass conservation equation
// Kee 16.48
a(1, 0) = m_u; // rho' * u
a(1, 1) = m_rho; // u' * rho
// initialize the third row from momentum conservation equation
// Kee 16.62
// -> rho * u * u' + P' = -u * (P / A_c) * sum(sdot_k * W_k)
a(2, 1) = m_rho * m_u; // rho * u * u'
a(2, 2) = 1; // 1 * P'
// initialize the fourth row from conservation of energy
// Kee 16.58, adiabatic
const doublereal cp_mass = m_thermo->cp_mass();
a(3, 3) = m_rho * m_u * cp_mass; // rho * u * cp * T'
// initialize the next rows from the mass-fraction equations
// Kee 16.51
for (size_t i = 0; i < m_nsp; ++i)
{
a(m_non_spec_eq + i, m_non_spec_eq + i) = m_rho * m_u; // rho * u * Yk'
}
// now set the RHS vector
// get (perim / Ac) * sum(sk' * wk), used multiple places
double h_sk_wk = 0;
const doublereal hydraulic = surfaceAreaToVolumeRatio();
for (size_t i = 0; i < m_nsp; ++i)
{
h_sk_wk += hydraulic * m_sdot[i] * mw[i];
}
// RHS of ideal gas eq. is zero
ydot[0] = 0;
// mass continutity, Kee 16.48
// (perim / Ac) * sum(sk' * wk)
ydot[1] = h_sk_wk;
// momentum conservation, Kee 16.62, no friction
// - u * (perim / Ac) * sum(sk' * wk)
ydot[2] = -m_u * h_sk_wk;
// energy conservation, Kee 16.58, adiabatic
// -sum(wk' * Wk * hk) - (perim / Ac) * sum(sk' * Wk * hk)
// Note: the partial molar enthalpies are in molar units, while Kee uses mass
// units, where:
// h_mass = h_mole / Wk
// hence:
// h_mass * Wk = h_mol
m_thermo->getPartialMolarEnthalpies(&m_hk[0]);
for (size_t i = 0; i < m_nsp; ++i)
{
ydot[3] -= m_hk[i] * (m_wdot[i] + hydraulic * m_sdot[i]);
}
// mass-fraction equations Kee 16.51
// - Yk * (perim / Ac) * sum(sk' * Wk) + wk' * Wk + (perim / Ac) * sk' * Wk
for (size_t i = 0; i < m_nsp; ++i)
{
ydot[m_non_spec_eq + i] = -y[m_non_spec_eq + i] * h_sk_wk +
mw[i] * (m_wdot[i] + hydraulic * m_sdot[i]);
}
// and solve
solve(a, ydot, 1, 0);
}
void FlowReactor::initialize(doublereal t0)
{
Reactor::initialize(t0);
m_thermo->restoreState(m_state);
m_nv = m_nsp + 2;
// initialize state
m_T = m_thermo->temperature();
m_rho = m_thermo->density();
m_P = m_thermo->pressure();
m_T = m_thermo->temperature();
// resize temporary arrays
m_wdot.resize(m_nsp);
m_hk.resize(m_nsp);
// set number of variables to the number of non-species equations
// i.e., density, velocity, pressure and temperature
// plus the number of species in the gas phase
m_nv = m_non_spec_eq + m_nsp;
if (m_surfaces.size())
{
size_t n_surf_species = 0;
size_t n_total_species = 0;
for (auto const &m_surf : m_surfaces)
{
// finally, add the number of species the surface for the site-fraction
// equations
n_surf_species += m_surf->thermo()->nSpecies();
n_total_species += m_surf->kinetics()->nTotalSpecies();
}
m_nv += n_surf_species;
m_sdot_temp.resize(n_total_species);
}
}
void FlowReactor::syncState()
{
ReactorBase::syncState();
m_rho = m_thermo->density();
m_P = m_thermo->pressure();
m_T = m_thermo->temperature();
}
void FlowReactor::updateState(doublereal* y)
{
// Set the mass fractions and density of the mixture.
m_dist = y[0];
m_speed = y[1];
doublereal* mss = y + 2;
m_thermo->setMassFractions(mss);
doublereal rho = m_rho0 * m_speed0/m_speed;
m_rho = y[0];
m_u = y[1];
m_P = y[2];
m_T = y[3];
doublereal* mss = y + m_non_spec_eq;
m_thermo->setMassFractions_NoNorm(mss);
m_thermo->setState_TP(m_T, m_P);
// assumes frictionless
doublereal pmom = m_P0 - rho*m_speed*m_speed;
// update surface
updateSurfaceState(y + m_nsp + m_non_spec_eq);
doublereal hmom;
// assumes adiabatic
if (m_energy) {
hmom = m_h0 - 0.5*m_speed*m_speed;
m_thermo->setState_HP(hmom, pmom);
} else {
m_thermo->setState_TP(m_T, pmom);
}
m_thermo->saveState(m_state);
}
void FlowReactor::setMassFlowRate(double mdot)
{
m_rho0 = m_thermo->density();
m_speed = mdot/m_rho0;
m_speed0 = m_speed;
m_u = mdot/m_rho0;
m_u0 = m_u;
m_T = m_thermo->temperature();
m_P0 = m_thermo->pressure() + m_rho0*m_speed*m_speed;
m_h0 = m_thermo->enthalpy_mass() + 0.5*m_speed*m_speed;
m_P0 = m_thermo->pressure() + m_rho0*m_u*m_u;
m_h0 = m_thermo->enthalpy_mass() + 0.5*m_u*m_u;
}
void FlowReactor::eval(double time, double* LHS, double* RHS)
void FlowReactor::updateSurfaceState(double* y)
{
size_t loc = 0;
for (auto& S : m_surfaces) {
// set the coverages without normalization to avoid over-constraining
// the system.
// note: the ReactorSurface class doesn't normalize when calling setCoverages
S->setCoverages(y+loc);
S->syncCoverages();
loc += S->thermo()->nSpecies();
}
}
void FlowReactor::eval(double time, double* y,
double* ydot, double* params,
double* residual)
{
m_thermo->restoreState(m_state);
// distance equation
RHS[0] = m_speed;
// speed equation. Set m_fctr to a large value, so that rho*u is held fixed
RHS[1] = m_fctr * (m_speed0 - m_thermo->density() * m_speed / m_rho0);
// species equations //
evalSurfaces(t, &m_sdot_temp[0]);
const vector_fp& mw = m_thermo->molecularWeights();
if (m_chem) {
m_kin->getNetProductionRates(RHS + 2); // "omega dot"
} else {
fill(RHS + 2, RHS + 2 + m_nsp, 0.0);
double sk_wk = 0;
for (size_t i = 0; i < m_nsp; ++i)
{
sk_wk = m_sdot[i] * mw[i];
}
double rrho = 1.0 / m_thermo->density();
for (size_t n = 0; n < m_nsp; n++) {
RHS[n+2] *= mw[n] * rrho;
m_thermo->getPartialMolarEnthalpies(&m_hk[0]);
// get net production
if (m_chem) {
m_kin->getNetProductionRates(&m_wdot[0]);
}
// set dphi/dz variables
doublereal m_drhodz = ydot[0];
doublereal m_dudz = ydot[1];
doublereal m_dPdz = ydot[2];
doublereal m_dTdz = ydot[3];
// use equation of state for density residual
const double R_specific = GasConstant / m_thermo->meanMolecularWeight(); // specific gas constant
// P' - rho' * (R/M) * T - rho * (R/M) * T'
residual[0] = m_dPdz - m_drhodz * R_specific * m_T - m_rho * R_specific * m_dTdz;
// next, subtract off rho * T * sum(Yi' / Wi)
for (size_t i = 0; i < m_nsp; ++i)
{
residual[0] -= m_rho * m_T * ydot[m_non_spec_eq + i] / mw[i];
}
//! use mass continuity for velocity residual
//! Kee.'s Chemically Reacting Flow, Eq. 16.48
const doublereal hydraulic = surfaceAreaToVolumeRatio();
residual[1] = m_u * m_drhodz + m_rho * m_dudz - sk_wk * hydraulic;
//! Use conservation of momentum for pressure residual
//! Kee.'s Chemically Reacting Flow, Eq. 16.62
//! [NOTE: friction is neglected]
residual[2] = m_rho * m_u * m_dudz + m_u * hydraulic * sk_wk + m_dPdz;
//! use conservation of energy for temperature residual
//! Kee.'s Chemically Reacting Flow, Eq. 16.58
//! [NOTE: adiabatic]
// Also, as above:
// h_mass = h_mole / Wk
// hence:
// h_mass * Wk = h_mol
const doublereal cp_mass = m_thermo->cp_mass();
residual[3] = m_rho * m_u * cp_mass * m_dTdz;
for (size_t i = 0; i < m_nsp; ++i)
{
residual[3] += m_hk[i] * (m_wdot[i] + hydraulic * m_sdot[i]);
}
//! species conservation equations
//! Kee.'s Chemically Reacting Flow, Eq. 16.51
for (size_t i = 0; i < m_nsp; ++i)
{
residual[i + m_non_spec_eq] = m_rho * m_u * ydot[i + m_non_spec_eq] +
y[i + m_non_spec_eq] * hydraulic * sk_wk -
mw[i] * (m_wdot[i] + hydraulic * m_sdot[i]);
}
// surface algebraic constraints
if (m_surfaces.size())
{
size_t loc = m_non_spec_eq + m_nsp; // offset into residual vector
for (auto &m_surf : m_surfaces)
{
Kinetics* kin = m_surf->kinetics();
SurfPhase* surf = m_surf->thermo();
size_t nk = surf->nSpecies();
kin->getNetProductionRates(&m_sdot_temp[0]);
size_t ns = kin->surfacePhaseIndex();
size_t surfloc = kin->kineticsSpeciesIndex(0,ns);
doublereal sum = y[loc];
for (size_t i = 1; i < nk; ++i)
{
//! net surface production rate residuals
//! Kee.'s Chemically Reacting Flow, Eq. 16.63
residual[loc + i] = m_sdot_temp[surfloc + i];
//! next, evaluate the algebraic constraint to explicitly conserve
//! surface site fractions.
//! Kee.'s Chemically Reacting Flow, Eq. 16.64
sum += y[loc + i];
}
// set residual of the first species sum - 1 to ensure
// surface site conservation.
// Note: the first species is selected to be consistent with
// Reactor::evalSurfaces
residual[loc] = sum - 1.0;
loc += nk;
}
}
}
@ -95,11 +361,15 @@ size_t FlowReactor::componentIndex(const string& nm) const
// check for a gas species name
size_t k = m_thermo->speciesIndex(nm);
if (k != npos) {
return k + 2;
} else if (nm == "X" || nm == "distance") {
return k + m_non_spec_eq;
} else if (nm == "rho" || nm == "density") {
return 0;
} else if (nm == "U" || nm == "velocity") {
return 1;
} else if (nm == "P" || nm == "pressure") {
return 2;
} else if (nm == "T" || nm == "temperature") {
return 3;
} else {
return npos;
}

View File

@ -9,24 +9,18 @@
#include "cantera/base/utilities.h"
#include "cantera/base/Array.h"
#include "cantera/numerics/Integrator.h"
#include "cantera/zeroD/FlowReactor.h"
#include <cstdio>
namespace Cantera
{
ReactorNet::ReactorNet() :
m_integ(newIntegrator("CVODE"))
m_is_dae(false),
m_nmax(0)
{
suppressErrors(true);
// use backward differencing, with a full Jacobian computed
// numerically, and use a Newton linear iterator
m_integ->setMethod(BDF_Method);
m_integ->setLinearSolverType("DENSE");
}
ReactorNet::~ReactorNet()
{
// Defined in .cpp to limit dependence on Integrator.h
}
void ReactorNet::setInitialTime(double time)
@ -69,9 +63,22 @@ void ReactorNet::setSensitivityTolerances(double rtol, double atol)
m_init = false;
}
void ReactorNet::setMaxSteps(int nmax)
{
m_nmax = nmax;
m_init= false;
}
void ReactorNet::initialize()
{
m_nv = 0;
m_integ.reset(newIntegrator(m_is_dae ? "IDA" : "CVODE"));
// use backward differencing, with a full Jacobian computed
// numerically, and use a Newton linear iterator
m_integ->setMethod(BDF_Method);
m_integ->setProblemType(DENSE + NOJAC);
m_integ->setIterator(Newton_Iter);
debuglog("Initializing reactor network.\n", m_verbose);
if (m_reactors.empty()) {
throw CanteraError("ReactorNet::initialize",
@ -104,11 +111,13 @@ void ReactorNet::initialize()
m_integ->setSensitivityTolerances(m_rtolsens, m_atolsens);
m_integ->setMaxStepSize(m_maxstep);
m_integ->setMaxErrTestFails(m_maxErrTestFails);
if (m_nmax)
m_integ->setMaxSteps(m_nmax);
m_integ->initialize(m_time, *this);
if (m_verbose) {
writelog("Number of equations: {:d}\n", neq());
writelog("Maximum time step: {:14.6g}\n", m_maxstep);
}
m_integ->initialize(m_time, *this);
if (m_integ->preconditionerSide() != PreconditionerSide::NO_PRECONDITION) {
checkPreconditionerSupported();
}
@ -226,7 +235,7 @@ double ReactorNet::step()
} else if (!m_integrator_init) {
reinitialize();
}
m_time = m_integ->step(m_time + 1.0);
m_time = m_integ->step(m_time + 1.0);;
updateState(m_integ->solution());
return m_time;
}
@ -259,6 +268,19 @@ int ReactorNet::lastOrder()
void ReactorNet::addReactor(Reactor& r)
{
r.setNetwork(this);
try
{
dynamic_cast<FlowReactor&>(r);
m_is_dae = true;
}
catch(bad_cast)
{
if (m_is_dae)
{
throw CanteraError("ReactorNet::addReactor",
"Cannot mix Reactors and FlowReactor's");
}
}
m_reactors.push_back(&r);
}
@ -286,6 +308,24 @@ void ReactorNet::eval(doublereal t, doublereal* y,
checkFinite("ydot", ydot, m_nv);
}
void ReactorNet::eval(doublereal t, doublereal* y,
doublereal* ydot, doublereal* p,
doublereal* residual)
{
updateState(y);
for (size_t n = 0; n < m_reactors.size(); n++) {
m_reactors[n]->evalEqs(t, y + m_start[n], ydot + m_start[n], p, residual);
}
checkFinite("ydot", ydot, m_nv);
}
void ReactorNet::getConstraints(doublereal* constraints)
{
for (size_t n = 0; n < m_reactors.size(); n++) {
m_reactors[n]->getConstraints(constraints + m_start[n]);
}
}
double ReactorNet::sensitivity(size_t k, size_t p)
{
if (!m_init) {
@ -295,7 +335,8 @@ double ReactorNet::sensitivity(size_t k, size_t p)
throw IndexError("ReactorNet::sensitivity",
"m_sens_params", p, m_sens_params.size()-1);
}
double denom = m_integ->solution(k);
double denom;
denom = m_integ->solution(k);
if (denom == 0.0) {
denom = SmallNumber;
}
@ -333,13 +374,6 @@ void ReactorNet::updateState(doublereal* y)
}
}
void ReactorNet::getState(double* y)
{
for (size_t n = 0; n < m_reactors.size(); n++) {
m_reactors[n]->getState(y + m_start[n]);
}
}
void ReactorNet::getDerivative(int k, double* dky)
{
double* cvode_dky = m_integ->derivative(m_time, k);
@ -374,6 +408,11 @@ bool ReactorNet::getAdvanceLimits(double *limits)
has_limit |= m_reactors[n]->getAdvanceLimits(limits + m_start[n]);
}
return has_limit;
void ReactorNet::getState(double* y, double* ydot)
{
for (size_t n = 0; n < m_reactors.size(); n++) {
m_reactors[n]->getState(y + m_start[n], ydot + m_start[n]);
}
}
size_t ReactorNet::globalComponentIndex(const string& component, size_t reactor)

View File

@ -1378,13 +1378,18 @@ class TestFlowReactor(utilities.CanteraTest):
t = 0
v0 = r.speed
times = [0]
velocities = [r.speed]
self.assertNear(v0, 10 / r.density)
while t < 10.0:
t = net.step()
times.append(t)
velocities.append(r.speed)
self.assertNear(v0, r.speed)
self.assertNear(r.distance, v0 * t)
self.assertNear(np.trapz(velocities, x=times), v0 * t, 1e-3)
@unittest.expectedFailure
def test_reacting(self):
g = ct.Solution(yaml=self.gas_def)
g.TPX = 1400, 20*101325, 'CO:1.0, H2O:1.0'
@ -1394,20 +1399,23 @@ class TestFlowReactor(utilities.CanteraTest):
net = ct.ReactorNet()
net.add_reactor(r)
net.atol = 1e-18
net.rtol = 1e-9
net.atol = 1e-10
net.rtol = 1e-5
net.max_err_test_fails = 10
net.max_steps = int(1e6)
t = 0
times = [0]
velocities = [r.speed]
v0 = r.speed
self.assertNear(r.speed, 10 / r.density)
while t < 1.0:
t1 = net.time
x1 = r.distance
t = net.step()
times.append(t)
velocities.append(r.speed)
v = (r.distance - x1) / (net.time - t1)
self.assertNear(r.speed, v, 1e-3)
self.assertNear(r.speed, v0, 1e-3)
self.assertNear(np.trapz(velocities, x=times), v0 * t, 1e-3)
class TestSurfaceKinetics(utilities.CanteraTest):