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91
doc/handbook/intro.tex
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@ -1,40 +1,42 @@
\chapter{Introduction}
\eWoms~\cite{EWOMS-HP} aims to be a generic framework for the simulation of multi-phase
fluid flow and transport processes in porous media using continuum
mechanical approaches. At the same time, \eWoms aims to deliver
top-notch computational performance, high flexibility, a sound
\eWoms~\cite{EWOMS-HP} a generic framework for the simulation of
multi-phase fluid flow and transport processes in porous media using
continuum mechanical approaches. \eWoms is also an integral part of
the open porous media initiative~\cite{OPM-HP} for which it implements
the fully-implicit discretization schemes. \eWoms is based on the
source code of the \Dumux~\cite{DUMUX-HP} simulation framework and
aims to be a proper superset of \Dumux when it comes to features,
while at the same time it delivers better performance and a
higher-quality code base. To ease porting features from \Dumux to
\eWoms, the \eWoms source code uses very similar naming and style
conventions as the one of \Dumux.
Besides being a generic simulation framework, \eWoms also aims to to
deliver top-notch computational performance, high flexibility, a sound
software architecture and the ability to run on anything from single
processor systems to highly parallel supercomputers with specialized
hardware architectures.
\eWoms is an integral part of the open porous media
initiative~\cite{OPM-HP} where it provides the fully-implicit
models. \eWoms is based on the source code of the
\Dumux~\cite{DUMUX-HP} simulation framework and aims to be a proper
superset of \Dumux when it comes to features, while at the same time
it aims to deliver better performance and quality of the source
code. To ease porting features from \Dumux to \eWoms and vice-versa,
all classes provided by \eWoms are currently located in the namespace
\texttt{Dumux}.
The means to achieve these somewhat contradictory goals are the
thorough use of object oriented design in conjunction with template
programming. These requirements motivated the decision to use
\Cplusplus as the implementation language for \eWoms.
hardware architectures. The means to achieve these somewhat
contradictory goals are the thorough use of object oriented design in
conjunction with template programming. These requirements motivated
the decision to implement \eWoms using the \Cplusplus programming
language.
One of the more complex issues when dealing with parallel continuum
models is managing the grids used for the spatial discretization of
the physical model. To date, no generic and efficient approach exists
for all possible cases, so \eWoms is build on top of \Dune, the
\textbf{D}istributed and \textbf{U}nified \textbf{N}umerics
\textbf{E}nvironment~\cite{DUNE-HP}. \Dune provides a generic interface
to many existing grid management libraries such as UG~\cite{UG-HP},
ALBERTA~\cite{ALBERTA-HP}, ALUGrid~\cite{ALUGRID-HP} and a few
more. DUNE also extensively uses template programming in order to
achieve minimal overhead when accessing the underlying grid
libraries\footnote{In fact, the performance penalty resulting from the
use of \Dune's grid interface is usually negligible~\cite{BURRI2006}.}.
models for partial differential equations, is the management of the
grids used for the spatial discretization. To date, no generic and
efficient approach exists for all possible cases, which lead to \eWoms
being build on top of \Dune, the \textbf{D}istributed and
\textbf{U}nified \textbf{N}umerics
\textbf{E}nvironment~\cite{DUNE-HP}. Instead of trying to implement a
grid for everything, \Dune defines a generic \Cplusplus interface to
grids, and provides adapters to several existing grid management
libraries such as UG~\cite{UG-HP}, ALBERTA~\cite{ALBERTA-HP} or
ALUGrid~\cite{ALUGRID-HP}. DUNE also extensively uses template
programming in order to achieve minimal overhead when accessing the
underlying grid libraries\footnote{In fact, the performance penalty
resulting from the use of \Dune's grid interface is usually
negligible~\cite{BURRI2006}.}.
\begin{figure}[hbt]
\centering
\includegraphics[width=.5\linewidth, keepaspectratio]{EPS/dunedesign}
@ -65,24 +67,25 @@ it matches the grid's cell. For a more thorough description of \Dune's
grid definition, see~\cite{BASTIAN2008}.
In addition to the grid interface, \Dune also provides quite a few
additional modules, of which the \texttt{dune-localfunctions} and
\texttt{dune-istl} modules are the most relevant in the context of
this handbook. \texttt{dune-localfunctions} provides a set of generic
finite element shape functions, while \texttt{dune-istl} is the
\textbf{I}terative \textbf{S}olver \textbf{T}emplate \textbf{L}ibrary
and provides generic, highly optimized linear algebra routines for
solving the generated systems.
additional modules; In the context of this handbook the
\texttt{dune-localfunctions} and \texttt{dune-istl} modules are
probably the most relevant. \texttt{dune-localfunctions} provides a
set of generic finite element shape functions, while
\texttt{dune-istl} is the \textbf{I}terative \textbf{S}olver
\textbf{T}emplate \textbf{L}ibrary and provides generic, highly
optimized linear algebra routines for solving linear systems of
equations.
\eWoms comes in form of an additional module \Dune module
'\texttt{ewoms}'. It depends on the \Dune core modules
\texttt{dune-common}, \texttt{dune-grid}, \texttt{dune-istl}, and on
\eWoms comes in form of a module \Dune module '\texttt{ewoms}'. It
depends on the \Dune core modules \texttt{dune-common},
\texttt{dune-grid}, \texttt{dune-istl}, and on
\texttt{dune-localfunctions}. The main intention of \eWoms is to
provide a framework for an easy and efficient implementation of new
physical models for porous media flow problems, ranging from problem
formulation and the selection of spatial and temporal discretization
schemes as well as nonlinear solvers, to general concepts for model
coupling. Moreover, \eWoms includes ready-to-use numerical models and
a few example applications.
schemes as well as nonlinear and linear solvers, to general concepts
for model coupling. Moreover, \eWoms includes ready-to-use numerical
models and a few example applications.
%%% Local Variables:
%%% mode: latex

16
doc/handbook/parameters.tex
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@ -3,10 +3,10 @@
As already mentioned in the previous section, \eWoms allows to specify
a number of parameters at run time. A description of these parameters
can usually obtained by passing the \texttt{--help} parameter to the
can usually be obtained by passing the \texttt{--help} parameter to the
executable. The values used for these parameters are printed to the
terminal during the start-up of the simulation, e.g. the if the \texttt{lens\_immiscible}
simulation is run with the parameters \texttt{--end-time=30e3 --foo-param=123}, there will an output similar to
simulation is run with the parameters \texttt{--end-time=30e3 --foo-param=123}, it will print an output similar to
\begin{lstlisting}[style=Bash]
###########
# Parameters specified at run-time
@ -27,13 +27,13 @@ FooParam="123"
\end{lstlisting}
This can be directly copy-and-pasted into a file
(e.g. \texttt{myparams.ini}) and loaded by passing the
\texttt{--parameter-file=myparams.ini} parameter to the simulation the
next time it is run.
(e.g. \texttt{myparams.ini}). The simulation can be instructed to use
these parameters by passing the \texttt{--parameter-file=myparams.ini}
parameter the next time it is run. Of course, this file can also be
adapted.
When you do simulations, always look for the paramters which are
unknown to the simulation, as this is \emph{very} useful for spotting
typos.
An additional hint: Always watch out for parameters which are unknown
to the simulation, as this is \emph{very} useful for spotting typos.
%%% Local Variables:
%%% mode: latex

43
doc/handbook/quick-install.tex
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@ -2,27 +2,28 @@
This section describes a way of installing \eWoms that works in most
cases, but depending on your operating system of choice, \Cplusplus
compiler and features which you need, some tweaks are possibly. As a
pre-requisite it is assumed, that you are using a recent Linux
distribution that has the appropriate development packages (\Cplusplus
compiler, autoconf, automake, libtool and pkg-config amongst possibly
others) installed, but that you did not install \Dune via distribution
provided packages. If you need more information, or if you have \Dune
already installed, please have a look at the detailed installation
instructions in Section \ref{install}.
compiler and features which you need, some tweaks are possibly
required. As a pre-requisite it is assumed, that you are using a
recent Linux distribution that has the appropriate development
packages (\Cplusplus compiler, autoconf, automake, libtool and
pkg-config amongst possibly others) installed, but that you did not
install \Dune via distribution provided packages. If you need more
information, or if you have \Dune already installed, please have a
look at the detailed installation instructions in Section
\ref{install}.
\subsection{Retrieving the code}
You can download all \Dune modules by either downloading and unpacking
the tarballs for the \Dune-2.2 release as well as downloading and
unpacking the tarball for the \eWoms 2.2 release, or by retrieving the
code directly from their respective source-code repositories. If you
decide to use the first method, make sure to unpack all tarballs into
the same directory; if you prefer the second method, make sure that
you have the \texttt{git} version control system with the SVN plug-in
installed on your computer and enter the following code snipplet into
a terminal:
You can retrieve all required \Dune modules by either downloading and
unpacking the tarballs for the \Dune-2.2 release followed by
downloading and unpacking the tarball for the \eWoms 2.2 release, or
by retrieving the code directly from their respective source-code
repositories. If you decide to use the first method, make sure to
unpack all tarballs into the same directory; if you prefer the second
method, make sure that you have the \texttt{git} version control
system with the SVN plug-in installed on your computer and enter the
following code snippet into a terminal:
\begin{lstlisting}[style=Bash]
cd $YOUR_DUNE_ROOT_DIRECTORY
for DUNE_MODULE in common geometry grid istl localfunctions; do \
@ -35,10 +36,10 @@ git clone --branch "release-2.2" git://github.com/OPM/ewoms.git
\subsection{Building \Dune and \eWoms}
\label{buildIt}
\eWoms is \Dune module and is recommended to build it using the \Dune
\eWoms is a \Dune module and is recommended to build it using the \Dune
build system~\cite{DUNE-BS}. To simplify things, \eWoms ships with a
few option files for \Dune's build script, \texttt{dunecontrol}. If
you are using \eWoms the first time, we recommend to use the one
you are using \eWoms the first time, we recommend to use the options
optimized for the debugging experience, \texttt{debug.opts}:
\begin{lstlisting}[style=Bash]
@ -58,12 +59,12 @@ cd $YOUR_DUNE_ROOT_DIRECTORY
\end{lstlisting}
%$
Sometimes it is necessary to have additional options which are
Sometimes it is necessary to have additional options which might be
specific to the operating system of your choice, or if you have
special requirements. For this reason, the option files mentioned
above should be rather understood as a starting point for your own
option files than as something fixed; feel free to copy and modify
them. To avoid confusion, it is usually helpful to rename your
them. To avoid confusion, it is helpful to rename your
customized option files, though.
%%% Local Variables:

34
doc/handbook/quickstart-guide.tex
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@ -8,17 +8,17 @@ rough steps will be described here; More detailed explanations can be
found in the tutorials in the following chapter.
\begin{enumerate}
\item Go to the directory \texttt{/test}. There, various test
\item Go to the directory \texttt{test}. There, various test
application folders can be found. Let us consider as example
\texttt{boxmodels/lens{\_}immiscible}:
\item Enter the folder \texttt{boxmodels/}.
the one for the fully-implicit models, \texttt{boxmodels}:
\item Enter the folder \texttt{boxmodels}.
\item By default, the \texttt{dunecontrol} command only compiles the
parts of \Dune modules that are necessary to build modules depending
on the given module. For \eWoms, \texttt{dunecontrol} does not build
anything by default, because \eWoms only provides \Cplusplus
template classes but no libraries that need compilation. To compile
the test simulation for the "lens" problem which uses the immiscible
box model, enter
the test simulation for the "lens" problem which uses the fully-implicit
model that assumes immisciblility, enter
\begin{lstlisting}[style=Bash]
make lens_immiscible
\end{lstlisting}
@ -37,15 +37,15 @@ make -j $N check
%$
\item If everything was compiled correctly, there should be an
executable \texttt{lens{\_}immiscible}. To run the simulation,
simply run it, i.e. enter
executable called '\texttt{lens{\_}immiscible}'. To run the simulation,
simply execute it, i.e. enter
\begin{lstlisting}[style=Bash]
./lens_immiscible
\end{lstlisting}
You may also want to change some parameters from the command line. For
example, if you want to change the time up to which the simulation is
run to $30.000$ seconds, use
example, if you want to change the time up to which the problem is
simulated to $30.000$ seconds, use
\begin{lstlisting}[style=Bash]
./lens_immiscible --end-time=30e3
\end{lstlisting}
@ -61,11 +61,11 @@ simulation together with a brief description, by running
pressing \texttt{<Ctrl>+<C>}.
\item The actual output files produced by the simulation are a series
of \texttt{.vtu} files and a \texttt{.pvd} file. The \texttt{.vtu}
contain "visualization ready" data which is produced during the
simulation, while the \texttt{.pvd} file "stitches" these together
into a coherent data set. For example, the \texttt{.pvd} holds the
simulation time at which a given data-set is produced which can
of \texttt{.vtu} files and a \texttt{.pvd} file. Each \texttt{.vtu}
file contains "visualization ready" data for a single time step,
while the \texttt{.pvd} file "stitches" these files together into a
coherent data set. For example, the \texttt{.pvd} holds the
simulation time at which a given time step was produced, that can
later be used for visualization.
\item You can now display the result of the simulation using the
visualization tool ParaView (or, if you prefer, VisIt). Just type
@ -74,9 +74,9 @@ simulation together with a brief description, by running
``Apply'' button. Once you have done this, the visualization of the
simulation result appears on the screen and you can click the
``play'' button in the toolbar to view display its evolution over
time. Also note that you can choose the output quantity to be
displayed in the toolbar. For the lens problem, the most insight can
be gained by looking at one of the saturations.
time. Also note that you can choose the visualized quantity
in the toolbar. For the lens problem, the most interesting quantities
are probably the saturations.
\item Play a bit around to make your self familiar with the
visualization tool of your choice as you will be using it a lot.
\end{enumerate}

333
doc/handbook/tutorial-coupled.tex
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@ -2,22 +2,21 @@
\label{tutorial-coupled}
The process of setting up a problem using \eWoms can be roughly
divided into four parts:
divided into three parts:
\begin{enumerate}
\item A suitable model has to be chosen.
\item The geometry of the problem and correspondingly a grid have to
be defined.
\item Boundary and initial conditions and material properties have to be
selected.
\item The geometry of the problem has to be defined and the suitable
grid has to be created.
\item Boundary and initial conditions and material properties have to
be specified.
\end{enumerate}
The physical set-up of the flow problem being solved in this tutorial
is illustrated in Figure \ref{tutorial-coupled:problemfigure}: It
consists of a rectangular domain with no-flow boundary conditions on
the top and on the bottom of the domain, which is initially fully
saturated by oil. Water infiltrates from the left side into the domain
and replaces the oil. The effect of gravity is neglected for this
problem.
saturated by a light oil. Water infiltrates from the left side and
replaces the oil. The effect of gravity is neglected.
\begin{figure}[ht]
\psfrag{x}{x}
@ -58,10 +57,10 @@ The solved equations are the mass balances of water and oil:
\subsection{The main source file}
Listing \ref{tutorial-coupled:mainfile} shows the main application
file \texttt{tutorial/tutorial\_coupled.cc} uses the fully implicit
model that assumes immiscibility. This file has to be compiled and
executed in order to solve the problem described above.
Listing \ref{tutorial-coupled:mainfile} shows the main file
\texttt{tutorial/tutorial\_coupled.cc} for the tutorial problem using
a fully-implicit model that assumes immiscibility. This file has to be
compiled and executed in order to solve the problem described above.
\begin{lst}[File tutorial/tutorial\_coupled.cc]\label{tutorial-coupled:mainfile} \mbox{}
\lstinputlisting[style=eWomsCode, numbersep=5pt, firstline=25, firstnumber=25]{../../tutorial/tutorial_coupled.cc}
@ -84,13 +83,12 @@ The default \eWoms startup routine deals with parsing the command line
arguments, reading the parameter file, properly setting up the \Dune
infrastructure, creating the grid, and starting the actual simulation.
Required parameters for the start of the simulation, such as the
initial time-step size, the simulation time or details of the grid,
can be either specified by command line arguments of the form
(\texttt{--parameter-name=value}), in the file specified by the
initial time-step size, the final simulation time or details of the
grid, can be either specified by command line arguments of the form
(\texttt{--parameter-name=value}), or in the file specified by the
\texttt{--parameter-file="file\_name"} argument. A list of all
recognized parameters that can be specified at run time can be printed
by passing the \texttt{--help} argument to the exectutable of the
simulation.
parameters that can be specified at run-time can be obtained by passing
the \texttt{--help} argument to the exectutable of the simulation.
\subsection{The problem file}
@ -109,67 +107,74 @@ using the \eWoms property system (for more information see chapter
\begin{itemize}
\item First, a new type tag is created for the problem in line
\ref{tutorial-coupled:create-type-tag}. In this case, the new type
tag inherits all properties from the \texttt{BoxTwoP} type tag, which
means that for this problem the two-phase box model is chosen as
discretization scheme.
\item On line \ref{tutorial-coupled:set-problem}, a problem class is
specified for the new type tag, while the grid which is going to be
used is defined in line \ref{tutorial-coupled:set-grid} -- in this
case that is \texttt{Dune::YaspGrid}.
\item Since there's no uniform mechanism to allocate grids in \Dune,
\eWoms features the concept of grid creators. In this case the
generic \texttt{CubeGridCreator} is used. This grid creator constructs a structured
hexahedron grid of a specified size and resolution. For this grid
creator the physical domain of the grid is specified via the
run-time parameters \texttt{Grid.upperRightX},
\texttt{Grid.upperRightY}, \texttt{Grid.numberOfCellsX} and
\texttt{Grid.numberOfCellsY}. These parameters can be specified via
the command-line or in a parameter file.
tag inherits all properties from the \texttt{BoxImmiscibleTwoPhase}
type tag, which means that for this problem the immiscible box model
for two fluid phases is chosen as discretization scheme.
\item On line \ref{tutorial-coupled:set-problem}, the problem class is
specified for the new type tag, while the kind of grid which is
going to be used is defined in line \ref{tutorial-coupled:set-grid}
-- in this case that is \texttt{Dune::YaspGrid}.
\item Since \Dune does not provide a uniform mechanism to initialize
and load grids, \eWoms features the concept of grid creators. In
this case, the generic \texttt{CubeGridCreator} is used. This grid
creator constructs a structured rectangular grid with a specified
size and resolution. For this grid creator, the physical domain of
the grid is specified via the run-time parameters
\texttt{DomainSizeX} and \texttt{DomainSizeY} and its resolution by
\texttt{CellsX} and \texttt{CellsY}. These parameters can be
specified via the command-line or in a parameter file, but the
problem file must define default values for them. Defining these
defaults is done on lines
\ref{tutorial-coupled:grid-default-params-begin} to
\ref{tutorial-coupled:default-params-end}.
\end{itemize}
Next, an appropriate fluid system -- which specifies the thermodynamic
relations of the fluid phases -- has to be chosen. By default, the
fully-implicit immiscible model uses the
\texttt{TwoPImmiscibleFluidSystem}. This fluid system simplifies
things considerably by assuming immiscibility of the phases, but it
requires to explicitly specify the fluids used for the wetting and
non-wetting phases. In this case, liquid water based on the relations
from IAPWS'97~\cite{IAPWS1997} is chosen as the wetting phase on line
\ref{tutorial-coupled:wettingPhase} and liquid oil is chosen as the
non-wetting phase on line \ref{tutorial-coupled:nonwettingPhase}. The
next property, which is set in line \ref{tutorial-coupled:gravity},
tells the model not to use gravity. This is then followed by the
specifcation default values for parameters specifying the temporal and
spatial domain from line \ref{tutorial-coupled:default-params-begin}
to line \ref{tutorial-coupled:default-params-end}. The values of thos
can be overwritten at run-time if desired.
fully-implicit immiscible model for two fluid phases uses
\texttt{Dumux::FluidSystems::TwoPImmiscible}. This fluid system
simplifies things considerably by assuming immiscibility of the
phases, but it requires to explicitly specify the fluids used for the
wetting and non-wetting phases. In this case, liquid water based on
the relations from IAPWS'97~\cite{IAPWS1997} is chosen as the wetting
phase on line \ref{tutorial-coupled:wettingPhase} and liquid oil is
chosen as the non-wetting phase on line
\ref{tutorial-coupled:nonwettingPhase}. The next property, which is
set in line \ref{tutorial-coupled:gravity}, tells the model not to use
gravity. This is then followed by the specifcation default values for
parameters specifying the temporal and spatial domain from line
\ref{tutorial-coupled:default-params-begin} to line
\ref{tutorial-coupled:default-params-end}. The values of those can be
overwritten at run-time if desired.
Following the property definition is the definition actual physical
set-up to be simulated. This is done by means of the \textit{problem
class}. The problem class specifies boundary and initial conditions,
source terms or spatial quantities like temperature, porosity,
intrinsic permeability and the parameters of the material law within
the domain. Since there are quite a few methods of the problem called
by the \eWoms models, and often there are sensible defaults for these
methods, it is strongly recomended to derive the problem class from
the class specified by the \texttt{BaseProblem} property as can be
seen on line \ref{tutorial-coupled:def-problem}\footnote{Technically,
deriving the problem from the \texttt{BaseProblem} property is not
required if it implements all necessary methods. Do not complain if
things explode in this case, though.}.
Following the property definitions comes the definition of the actual
physical set-up to be simulated. This is done by means of the
\textit{problem class}. The problem class specifies boundary and
initial conditions, source terms or spatial quantities like
temperature, porosity, intrinsic permeability and the parameters of
the material law within the domain. Since there are quite a few
methods of the problem called by the \eWoms models, and often there
are sensible defaults for these methods, it is strongly recomended to
derive the problem class from the class specified by the
\texttt{BaseProblem} property as done on line
\ref{tutorial-coupled:def-problem}\footnote{Technically, deriving the
problem from the \texttt{BaseProblem} property is not required if it
implements all necessary methods. Do not complain if things explode
in this case, though.}.
For isothermal multi-phase porous media models, problem class must always provide at least
the following methods:
For isothermal multi-phase porous media model, the problem class must
always provide at least the following methods:
\begin{itemize}
\item \texttt{initial()} for specifying the initial condition within
the domain.
\item \texttt{source()} specifying the source term for each conservation quantity.
\item \texttt{boundary()} specifying the conditions which apply on the domain boundary.
\item \texttt{temperature()} specifying temperature at a given time
and at a given position of the domain. If energy is conserved, this
method is not necessary, but energy fluxes must be provided in the
\texttt{boundary()} and \texttt{source()} methods and an initial
temperature needs to be defined in the \texttt{initial()} method.
the domain,
\item \texttt{source()} which specifies the source term for each conservation quantitym
\item \texttt{boundary()} for specifying the conditions which apply on
the domain boundary,
\item \texttt{temperature()} specifying the temperature within the
domain. Note, that if energy is conserved, this method is not
necessary. Though in this case, energy fluxes must be specified by
the \texttt{boundary()} and \texttt{source()} methods and an initial
temperature needs to be defined by the \texttt{initial()} method.
\item \texttt{intrinsicPermeability()} returns the intrinsic
permeability matrix $\mathbf{K}$ in $[m^2]$ at a given location.
\item \texttt{porosity()} returns the ratio of pore space to
@ -181,12 +186,12 @@ the following methods:
All of these methods take a single template argument,
\texttt{Context}, and the three function arguments \texttt{context},
\texttt{spaceIdx} and \texttt{timeIdx}. Together these form the
\texttt{spaceIdx} and \texttt{timeIdx}. Together, these form the
\textit{execution context}. The execution context can be thought of as
a collection of all available information when a given method is
called. Execution contexts are thus a way to abstract the differences
of the different discretization schemes. The following methods are
provided by all \text{context} objects:
provided by all \texttt{context} objects:
\begin{itemize}
\item \texttt{pos(spaceIdx, timeIdx)}: This method returns the
relevant position of the execution context within the physical
@ -206,7 +211,7 @@ provided by all \text{context} objects:
\end{itemize}
The execution contexts for the \texttt{source} and \texttt{boundary}
methods provide the following methods in addition:
methods always provide the following methods in addition:
\begin{itemize}
\item \texttt{volVars(spaceIdx, timeIdx)}: The secondary variables
used by the model relevant for the execution context. These are
@ -217,20 +222,21 @@ methods provide the following methods in addition:
Finally, the execution context for the \texttt{boundary} method
provides the methods \texttt{boundarySegmentArea(spaceIdx, timeIdx)},
and \texttt{normal(spaceIdx, timeIdx)}, which return the area and
outer unit normal of the execution context's boundary segment.
and \texttt{normal(spaceIdx, timeIdx)}, which return the area of the
boundary segment and outer unit normal of the boundary segment.
When specifying the boundary conditions in the problem class, a small
safeguard value \texttt{eps\_} is usually added when comparing spatial
coordinates. For the problem considered here, the left boundary might
hence not be detected if checking whether the first coordinate of the
global position is equal to zero, but by testing whether it is smaller
than a very small value \texttt{eps\_}. Also, the \texttt{bboxMax()}
(``\textbf{max}imum coordinate of the grid's \textbf{b}ounding
\textbf{b}ox'') method is used here to determine the extend of the
physical domain. It returns a vector with the maximum values of each
global coordinate of the grid. This method and the analogous
\texttt{bboxMin()} method are provided by the problem's base class.
safeguard value \texttt{eps\_} should usually be added when comparing
spatial coordinates. For the problem considered here, the left
boundary might not be detected if checking whether the first
coordinate of the global position is equal to zero, but it is detected
reliably by testing whether it is smaller than an
$\epsilon$-value. Also, the \texttt{bboxMax()} (``\textbf{max}imum
coordinate of the grid's \textbf{b}ounding \textbf{box}'') method is
used here to determine the extend of the physical domain. It returns a
vector with the maximum values on each axis of the grid. This method
and the analogous \texttt{bboxMin()} method are provided by the
problem's base class.
In addition to these methods, there might be some additional
model-specific methods.
@ -238,35 +244,39 @@ model-specific methods.
\subsection{Defining fluid properties}
\label{tutorial-coupled:description-fluid-class}
The \eWoms distribution includes some common substances which can be
used out of the box. The properties of pure substances (such as
the components nitrogen, water, or the pseudo-component air) are
The \eWoms distribution includes representations of some common
substances which can be used out of the box. The properties of pure
substances (such as nitrogen, water, or the pseudo-component air) are
provided by header files located in the folder
\texttt{dumux/material/components}.
When two or more components are considered, interactions between pure
substances become relevant and properties of these mixtures of
substances -- e.g. composition, density or enthalpy -- are of
interest. Such interactions are defined by {\em fluid systems}, which
are located in \texttt{dumux/material/fluidsystems}. A more thorough
overview of the \eWoms fluid framework can be found in
When two or more substances are considered, interactions between these
become relevant and the properties of these mixtures of substances --
e.g. composition, density or enthalpy -- are required. In \eWoms, such
interactions are defined by {\em fluid systems}, which are located in
\texttt{dumux/material/fluidsystems}. A more thorough overview of the
\eWoms fluid framework can be found in
chapter~\ref{sec:fluidframework}.
\subsection{Exercises}
\label{tutorial-coupled:exercises}
The following exercises will give you the opportunity to learn how you
can change soil parameters, boundary conditions, run-time parameters
and fluid properties in \eWoms.
\subsubsection{Exercise 1}
\renewcommand{\labelenumi}{\alph{enumi})} For Exercise 1 you have
to make only some small changes in the tutorial files.
\renewcommand{\labelenumi}{\alph{enumi})}
For Exercise 1 you have to modify the tutorial files only sightly, or
even not at all.
\begin{enumerate}
\item \textbf{Running the Program} \\
To get an impression what the results should look like you can first run the original version of
the coupled tutorial model by typing \texttt{./tutorial\_coupled}.
To get an impression what the results should look like, you can first run the original version of
the fully-implicit tutorial problem by typing \texttt{./tutorial\_coupled}.
Note, that the time-step size is automatically adapted during the simulation.
For visualizing the results using the program \texttt{paraview}, please refer to section \ref{quick-start-guide}.
@ -274,24 +284,23 @@ For visualizing the results using the program \texttt{paraview}, please refer to
Change the size of the model domain so that you get a rectangle with
edge lengths of $\text{x} = \unit[400]{m}$ and $\text{y} =
\unit[500]{m}$ and with discretization lengths of $\Delta \text{x} =
\unit[20]{m}$ and $\Delta \text{y} = \unit[20]{m}$. For this you can
\unit[20]{m}$ and $\Delta \text{y} = \unit[20]{m}$. For this, you can
either change the properties defined between lines
\ref{tutorial-coupled:default-params-begin} and
\ref{tutorial-coupled:default-params-end} (don't forget to
re-compile the program in this case), or pass you may pass them as
command line parameters to the simulation when you run it. Note,
that you do not have to recompile the program if you add command
line parameters to the executable.
\ref{tutorial-coupled:default-params-end}, or you may pass them as
command line parameters to the simulation when you run it.
If you chose to change the problem file, re-compile the simulation
by typing \texttt{make tutorial\_coupled}. In both cases, don't
forget run the simulation as explained above.
by typing \texttt{make tutorial\_coupled}. Note, that you do not
have to recompile the program if you use command line parameters. In
both cases, don't forget run the simulation before re-inspecting the
results using \texttt{paraview}.
\item \textbf{Boundary Conditions} \\
Change the boundary conditions in the file
Change the boundary conditions in the problem file
\texttt{tutorialproblem\_coupled.hh} so that water enters from the
bottom and oil is extracted from the top boundary. The right and the
left boundary should be closed for water and oil fluxes.
left boundary should be closed for both, water and oil.
Note that in \eWoms, flux boundary conditions are specified as
fluxes of the conserved quantities into the direction of the outer
@ -300,55 +309,59 @@ For visualizing the results using the program \texttt{paraview}, please refer to
simulation by typing \texttt{make tutorial\_coupled} and re-run it
as explained above.
\item \textbf{Changing the Shape of the Discrete Elements} \\
In order to complete this exercise you need a \Dune grid module that
is capable of handling simplex grids. By default, \Dune does not
include such a grid manager in its core modules, but one such grid
manager that is freely available
\texttt{ALUGrid}~\cite{ALUGRID-HP}. If you did not install such a
grid manager, please skip this exercise.
\item \textbf{Changing the Shape of the Discrete Elements} \\
In order to complete this exercise you need a \Dune grid manager
that is capable of handling simplex grids. By default, \Dune does
not include such a grid manager in its core modules, but the freely
available \texttt{ALUGrid}~\cite{ALUGRID-HP} can be used. If you did
not install such a grid manager, you may also skip this exercise.
To complete this excercise, change the problem's grid creator on
line \ref{tutorial-coupled:set-gridcreator} to
Change the grid creator used by the problem to
\texttt{SimplexGridCreator<TypeTag>} and the type of the grid to
\texttt{Dune::ALUSimplexGrid<2, 2>} on line
\texttt{Dune::ALUSimplexGrid<2, 2>}. The grid creator is specified
on line \ref{tutorial-coupled:set-gridcreator}, whil the type of the
\Dune grid manager is set on line
\ref{tutorial-coupled:set-grid}. You also need to change the include
statement from \texttt{cubegridcreator.hh} to
statement of the grid creator from \texttt{cubegridcreator.hh} to
\texttt{simplexgridcreator.hh} on line
\ref{tutorial-coupled:include-grid-creator}.
\ref{tutorial-coupled:include-grid-creator} and the one for the grid
manager from \texttt{dune/grid/yaspgrid.hh} to
\texttt{dune/grid/alugrid.hh} on line \ref{tutorial-coupled:include-grid-manager}.
The resulting grid can be examined by re-compiling and starting the
simulation, loading the result into \texttt{paraview}, and selecting
\texttt{Surface with Edges} as the visualization mode.
\texttt{Surface with Edges} instead of the default visualization
mode \texttt{Surface}.
\item \textbf{Changing Fluids} \\
In this exercise you will change the fluids used. Use DNAPL instead
of Oil and Brine instead of Water. To do that, you may follow the
steps:
In this exercise you will change the fluids used: Use DNAPL instead
of LNAPL and Brine instead of Water. This can be done by the
following steps:
\begin{enumerate}
\item Brine: Brine is thermodynamically very similar to pure water but
also considers a fixed amount of salt in the liquid phase. Hence,
also includes a fixed amount of salt in the liquid phase. Hence,
the class \texttt{Dumux::Brine} calls back to a class which
represents pure water. This can be, for example \texttt{Dumux::H2O},
or \texttt{Dumux::SimpleH2O}. The class which represents pure water
is passed to \texttt{Dumux::Brine} as the second template argument
after the data type for scalar values, i.e. the full definition of
the brine component is \texttt{Dumux::Brine<Scalar,
Dumux::H2O<Scalar> >}. The file which defines the brine component
is located in the folder \texttt{dumux/material/components/}.
Include this file and select use the brine component as the wetting phase.
\item DNAPL: Now let us include a component representing an oil that
represents pure water. (This can be, for example
\texttt{Dumux::H2O}, or \texttt{Dumux::SimpleH2O}.) The class which
represents pure water is passed to \texttt{Dumux::Brine} as the
second template argument after the data type for scalar values,
i.e. the full definition of the brine component is
\texttt{Dumux::Brine<Scalar, Dumux::H2O<Scalar> >}. The file which
defines the brine component is located in the folder
\texttt{dumux/material/components/}. Include this file and select
use the brine component as the wetting phase.
\item DNAPL: Now let us use a component that represents an oil that
is heavier than water (in environmental engineering this class of
substances is often called \textbf{d}ense
\textbf{n}on-\textbf{a}queous \textbf{p}hase \textbf{l}iquid
(DNAPL)) which is also located in the folder
\texttt{dumux/material/components/}. Try to include the file and
use the \texttt{DNAPL} component as the non-wetting phase.
\texttt{dumux/material/components/}. Include the correct file and
use the DNAPL component as the non-wetting phase.
\end{enumerate}
If you want to take a closer look on how the fluid classes are defined
and which substances are available in the \eWoms distribution, feel
free to browse through the files in the directory
\texttt{dumux/material/components} and to read
\texttt{dumux/material/components} and read
chapter~\ref{sec:fluidframework}.
\item \textbf{Use a Full-Fledged Fluid System} \\
@ -362,28 +375,26 @@ chapter~\ref{sec:fluidframework}.
Now include the file
\texttt{dumux/material/fluidsystems/h2oairfluidsystem.hh}, and
instruct the model to use this fluid system by setting
\texttt{FluidSystem} via:\\
the \texttt{FluidSystem} property via:\\
\begin{lstlisting}[style=eWomsCode]
SET_TYPE_PROP(TutorialProblemCoupled,
FluidSystem,
Dumux::FluidSystems::H2OAir<typename GET\_PROP\_TYPE(TypeTag, Scalar)>)
Dumux::FluidSystems::H2OAir<typename GET_PROP_TYPE(TypeTag, Scalar)>)
\end{lstlisting}
However, this is a rather complicated fluid system which considers
mixtures of components and also uses tabulated components that need to
be initialized -- i.e. some components use tables for expensive to
calculate quantities that need to be filled with values. The
initialization of the fluid system is normally done in the constructor
of the problem by calling \texttt{FluidSystem::init();}.
However, this is a rather complicated fluid system which considers all
fluid phases as a mixture of the components and also uses tabulated
components that need to be filled with values (i.e. some components
use tables to speed up expensive computations). The initialization of
the fluid system is normally done in the constructor of the problem by
calling \texttt{FluidSystem::init();}.
Remember that in \Cplusplus, the constructor always the same name as
the respective class, i.e. \texttt{TutorialProblemCoupled(..)}.
As water flow replacing a gas is much faster, simulate the problem
only until $2.000$ seconds is reached and start with a time step of
$1$ second.
As water flow replacing a gas is much faster, test your simulation
only until $2000$ seconds and start with a time step of $1$ second.
Please revert the changes made in this part of the exercise, as we
will continue to use immiscible phases from here on and hence do not
need a complex fluid system.
Now, revert the changes made in this part of the exercise, as we will
continue to use immiscible phases from here on and hence do not need a
complex fluid system.
\item \textbf{Changing Constitutive Relations} \\
Instead of using a regularized Brooks-Corey law for the relative
@ -400,7 +411,7 @@ need a complex fluid system.
of the property definition by \texttt{LinearMaterial} and rename
\texttt{RawMaterialLaw} to \texttt{TwoPMaterialLaw}. Also remove the
line which contains the \texttt{EffToAbsLaw} typedef.
\item Then adapt the necessary parameters of the linear law and the
\item Then, adapt the necessary parameters of the linear law and the
respective \texttt{set}-functions can be found in the file
\texttt{dumux/material/fluidmatrixinteractions/2p/linearmaterialparams.hh}.\\
Call the \texttt{set}-functions from the constructor of the problem.
@ -511,12 +522,12 @@ step size of $100\;\text{s}$.
\subsubsection{Exercise 3: Create a New Component}
Create a new file for the benzene component called \texttt{benzene.hh}
and implement a new component. (You may copy and modify one of the
existing components located in the directory
\texttt{dumux/material/components}. Use benzene as a new fluid and
run the model of Exercise 2 with water and benzene. Benzene has a
density of $889.51 \, \text{kg} / \text{m}^3$ and a viscosity of
$0.00112 \, \text{Pa} \; \text{s}$.
and implement a new component. (\textbf{Hint:} The easiest way to do
this is to copy and modify one of the existing components located in
the directory \texttt{dumux/material/components}.) Use benzene as a
new non-wetting fluid and run the problem of Exercise 2 with water and
benzene. Benzene has a density of $889.51 \, \text{kg} / \text{m}^3$
and a viscosity of $0.00112 \, \text{Pa} \; \text{s}$.
\clearpage \newpage

47
doc/handbook/tutorial.tex
View File

@ -1,23 +1,25 @@
\chapter[Tutorial]{Tutorial}\label{chp:tutorial}
\eWoms provides two sorts of models: Models which use a fully-implicit
discretization in space and time and models that are
semi-implicit.
discretization in space and time and models that use a
semi-implicit space and an explicit time discretization.
The semi-implicit solve the combined mass balance equation for all
phases implicitly -- which yields a pressure -- and then transport the
conserved quantities in an explicit step based on the result of the
(implicit) pressure step. For this reason these models are also called
to be based on the IMPES approach (\textbf{i}mplicit \textbf{p}ressure
\textbf{e}xplicit \textbf{s}aturation) or, more generally, on the
IMPET approach (IMPES (\textbf{i}mplicit \textbf{p}ressure
The semi-implicit models work by first implicitly solving a mass
balance equation for all conservation quaintites combined. This
procedire yields a pressure field. Then, the conserved quantities are
transported using an explicit post-processing procedure based on of
the pressure field obtained in the implicit step. These models are
usually refered to be based on the IMPES approach (\textbf{i}mplicit
\textbf{p}ressure \textbf{e}xplicit \textbf{s}aturation) or, more
generally, on the IMPET approach (\textbf{i}mplicit \textbf{p}ressure
\textbf{e}xplicit \textbf{t}ransport).
The fully-implicit models, describe the conservation quantities of a
flow system as a system of strongly coupled partial differential
equations. Physically, these conservation quantities are mass,
momentum and energy; Although the momentum is usually not explicitly
conserved in the context of flow models for porous media.
In contrast, the fully-implicit models describe the conservation
quantities of a flow system as a system of strongly coupled partial
differential equations which is directly using a non-linear
solver. Physically, these conservation quantities are mass, momentum
and energy; Although the momentum is usually not explicitly conserved
in the context of flow models for porous media.
In section \ref{box} a short introduction to the vertex centered
finite volume scheme (VCFV or box method) used by \eWoms as the
@ -27,15 +29,14 @@ which is quite similar to the VCFV discretization, except that this
scheme does not require to construct a dual grid centered around the
primary grid's vertices.
The following two sections of the tutorial first introduce how to
solve flow problems using a fully-coupled model (section
\ref{tutorial-coupled}) and then how to solve the same problem using a
semi-implicit model (section \ref{tutorial-decoupled}). Being the
easiest case, an isothermal two-phase system (two fluid phases, one
solid phase) will be considered. The source code of these tutorials is
shipped with the \eWoms source package and can be found in the
\texttt{tutorial} directory.
This chapter, first introduce how to solve flow problems using a
fully-implicit model (section \ref{tutorial-coupled}) and then how to
solve the same problem using a semi-implicit model (section
\ref{tutorial-decoupled}). Being simple but representative case, an
isothermal two-phase problem (i.e. two fluid phases, one solid phase)
will be considered. The source code of these tutorials is shipped with
the \eWoms source package and can be found in the \texttt{tutorial}
directory.
\input{tutorial-coupled}
\input{tutorial-decoupled}

6
examples/tutorialproblem_coupled.hh
View File

@ -38,7 +38,7 @@
#include <dumux/material/fluidmatrixinteractions/mp/2padapter.hh>
// For the DUNE grid
#include <dune/grid/yaspgrid.hh>
#include <dune/grid/yaspgrid.hh> /*@\label{tutorial-coupled:include-grid-manager}@*/
#include <dumux/common/cubegridcreator.hh> /*@\label{tutorial-coupled:include-grid-creator}@*/
// For Dune::FieldMatrix
@ -103,14 +103,14 @@ SET_SCALAR_PROP(TutorialProblemCoupled, EndTime, 100e3);
SET_SCALAR_PROP(TutorialProblemCoupled, InitialTimeStepSize, 125.0);
// define the physical size of the problem's domain [m]
SET_SCALAR_PROP(TutorialProblemCoupled, DomainSizeX, 300.0);
SET_SCALAR_PROP(TutorialProblemCoupled, DomainSizeX, 300.0); /*@\label{tutorial-coupled:grid-default-params-begin}@*/
SET_SCALAR_PROP(TutorialProblemCoupled, DomainSizeY, 60.0);
SET_SCALAR_PROP(TutorialProblemCoupled, DomainSizeZ, 0.0);
// // define the number of cells used for discretizing the physical domain
SET_INT_PROP(TutorialProblemCoupled, CellsX, 100);
SET_INT_PROP(TutorialProblemCoupled, CellsY, 1);
SET_INT_PROP(TutorialProblemCoupled, CellsZ, 1); /*@\label{tutorial-coupled:default-params-end}@*/
SET_INT_PROP(TutorialProblemCoupled, CellsZ, 1); /*@\label{tutorial-coupled:default-params-end}@*/
} // namespace Properties
//! Tutorial problem using the fully-implicit immiscible model.