LBPM/analysis/distance.cpp
2023-10-23 04:18:20 -04:00

211 lines
8.7 KiB
C++

/*
Copyright 2013--2018 James E. McClure, Virginia Polytechnic & State University
Copyright Equnior ASA
This file is part of the Open Porous Media project (OPM).
OPM is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
OPM is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with OPM. If not, see <http://www.gnu.org/licenses/>.
*/
#include "analysis/distance.h"
/******************************************************************
* A fast distance calculation *
******************************************************************/
template <class TYPE>
void CalcDist(Array<TYPE> &Distance, const Array<char> &ID, const Domain &Dm,
const std::array<bool, 3> &periodic,
const std::array<double, 3> &dx) {
ASSERT(Distance.size() == ID.size());
std::array<int, 3> n = {Dm.Nx - 2, Dm.Ny - 2, Dm.Nz - 2};
fillHalo<int> fillData(Dm.Comm, Dm.rank_info, n, {1, 1, 1}, 50, 1,
{true, false, false}, periodic);
Array<int> id(ID.size());
Array<Vec> vecDist(Distance.size());
for (size_t i = 0; i < ID.length(); i++)
id(i) = ID(i) == 0 ? -1 : 1;
fillData.fill(id);
CalcVecDist(vecDist, id, Dm, periodic, dx);
for (size_t i = 0; i < Distance.length(); i++)
Distance(i) = id(i) * vecDist(i).norm();
}
/******************************************************************
* Vector-based distance calculation *
* Initialize cells adjacent to boundaries *
******************************************************************/
static void calcVecInitialize(Array<Vec> &d, const Array<int> &ID, double dx,
double dy, double dz) {
d.fill(Vec(1e50, 1e50, 1e50));
const double dx0 = 0.5 * dx;
const double dy0 = 0.5 * dy;
const double dz0 = 0.5 * dz;
//const double dxy0 = 0.25*sqrt( dx*dx + dy*dy );
//const double dxz0 = 0.25*sqrt( dx*dx + dz*dz );
//const double dyz0 = 0.25*sqrt( dy*dy + dz*dz );
//const double dxyz0 = sqrt( dx*dx + dy*dy + dz*dz );
int Nx = d.size(0);
int Ny = d.size(1);
int Nz = d.size(2);
for (int k = 1; k < Nz - 1; k++) {
for (int j = 1; j < Ny - 1; j++) {
for (int i = 1; i < Nx - 1; i++) {
int id = ID(i, j, k);
bool x[2] = {id != ID(i - 1, j, k), id != ID(i + 1, j, k)};
bool y[2] = {id != ID(i, j - 1, k), id != ID(i, j + 1, k)};
bool z[2] = {id != ID(i, j, k - 1), id != ID(i, j, k + 1)};
if (x[0])
d(i, j, k) = Vec(dx0, 0, 0);
if (x[1])
d(i, j, k) = Vec(-dx0, 0, 0);
if (y[0])
d(i, j, k) = Vec(0, dy0, 0);
if (y[1])
d(i, j, k) = Vec(0, -dy0, 0);
if (z[0])
d(i, j, k) = Vec(0, 0, dz0);
if (z[1])
d(i, j, k) = Vec(0, 0, -dz0);
/*if ( x[0] && y[0] ) d(i,j,k) = Vec( dxy0, dxy0, 0 );
if ( x[0] && y[1] ) d(i,j,k) = Vec( dxy0, -dxy0, 0 );
if ( x[1] && y[0] ) d(i,j,k) = Vec( -dxy0, dxy0, 0 );
if ( x[1] && y[1] ) d(i,j,k) = Vec( -dxy0, -dxy0, 0 );
if ( x[0] && z[0] ) d(i,j,k) = Vec( dxz0, 0, dxz0 );
if ( x[0] && z[1] ) d(i,j,k) = Vec( dxz0, 0, -dxz0 );
if ( x[1] && z[0] ) d(i,j,k) = Vec( -dxz0, 0, dxz0 );
if ( x[1] && z[1] ) d(i,j,k) = Vec( -dxz0, 0, -dxz0 );
if ( y[0] && z[0] ) d(i,j,k) = Vec( 0, dyz0, dyz0 );
if ( y[0] && z[1] ) d(i,j,k) = Vec( 0, dyz0, -dyz0 );
if ( y[1] && z[0] ) d(i,j,k) = Vec( 0, -dyz0, dyz0 );
if ( y[1] && z[1] ) d(i,j,k) = Vec( 0, -dyz0, -dyz0 );*/
}
}
}
}
/******************************************************************
* Vector-based distance calculation *
* Update interior cells *
******************************************************************/
static double calcVecUpdateInterior(Array<Vec> &d, double dx, double dy,
double dz) {
double err = 0;
int Nx = d.size(0);
int Ny = d.size(1);
int Nz = d.size(2);
// Propagate (+,+,+)
for (int k = 1; k < Nz; k++) {
for (int j = 1; j < Ny; j++) {
for (int i = 1; i < Nx; i++) {
auto vx = d(i - 1, j, k);
auto vy = d(i, j - 1, k);
auto vz = d(i, j, k - 1);
vx.x += dx;
vy.y += dy;
vz.z += dz;
auto v = std::min(std::min(vx, vy), vz);
double d1 = v.norm2();
double d2 = d(i, j, k).norm2();
if (d1 < d2) {
d(i, j, k) = v;
err = std::max(err, sqrt(d2) - sqrt(d1));
}
}
}
}
// Propagate (-,-,-)
for (int k = Nz - 2; k >= 0; k--) {
for (int j = Ny - 2; j >= 0; j--) {
for (int i = Nx - 2; i >= 0; i--) {
auto vx = d(i + 1, j, k);
auto vy = d(i, j + 1, k);
auto vz = d(i, j, k + 1);
vx.x -= dx;
vy.y -= dy;
vz.z -= dz;
auto v = std::min(std::min(vx, vy), vz);
double d1 = v.norm2();
double d2 = d(i, j, k).norm2();
if (d1 < d2) {
d(i, j, k) = v;
err = std::max(err, sqrt(d2) - sqrt(d1));
}
}
}
}
return err;
}
/******************************************************************
* Vector-based distance calculation *
******************************************************************/
void CalcVecDist(Array<Vec> &d, const Array<int> &ID0, const Domain &Dm,
const std::array<bool, 3> &periodic,
const std::array<double, 3> &dx) {
std::array<int, 3> N = {Dm.Nx, Dm.Ny, Dm.Nz};
std::array<int, 3> n = {Dm.Nx - 2, Dm.Ny - 2, Dm.Nz - 2};
// Create ID with ghosts
Array<int> ID(N[0], N[1], N[2]);
fillHalo<int> fillDataID(Dm.Comm, Dm.rank_info, n, {1, 1, 1}, 50, 1,
{true, true, true}, periodic);
fillDataID.copy(ID0, ID);
// Fill ghosts with nearest neighbor
for (int k = 1; k < N[2] - 1; k++) {
for (int j = 1; j < N[1] - 1; j++) {
ID(0, j, k) = ID(1, j, k);
ID(N[0] - 1, j, k) = ID(N[0] - 2, j, k);
}
}
for (int k = 1; k < N[2] - 1; k++) {
for (int i = 0; i < N[0]; i++) {
ID(i, 0, k) = ID(i, 1, k);
ID(i, N[1] - 1, k) = ID(i, N[1] - 2, k);
}
}
for (int i = 0; i < N[0]; i++) {
for (int j = 0; j < N[1]; j++) {
ID(i, j, 0) = ID(i, j, 1);
ID(i, j, N[2] - 1) = ID(i, j, N[2] - 2);
}
}
// Communicate ghosts
fillDataID.fill(ID);
// Create communicator for distance
fillHalo<Vec> fillData(Dm.Comm, Dm.rank_info, n, {1, 1, 1}, 50, 1,
{true, false, false}, periodic);
// Calculate the local distances
calcVecInitialize(d, ID, dx[0], dx[1], dx[2]);
double err = 1e100;
double tol = 0.5 * std::min(std::min(dx[0], dx[1]), dx[2]);
for (int it = 0; it <= 50 && err > tol; it++) {
err = calcVecUpdateInterior(d, dx[0], dx[1], dx[2]);
}
// Calculate the global distances
int N_it = Dm.nprocx() + Dm.nprocy() + Dm.nprocz() + 100;
for (int it = 0; it < N_it; it++) {
// Update ghosts
fillData.fill(d);
// Update distance
double err = calcVecUpdateInterior(d, dx[0], dx[1], dx[2]);
// Check if we are finished
err = Dm.Comm.maxReduce(err);
if (err < tol)
break;
}
}
// Explicit instantiations
template void CalcDist<float>(Array<float> &, const Array<char> &,
const Domain &, const std::array<bool, 3> &,
const std::array<double, 3> &);
template void CalcDist<double>(Array<double> &, const Array<char> &,
const Domain &, const std::array<bool, 3> &,
const std::array<double, 3> &);