Tardigrade-examples (LANL code O4735) is a repository of computational workflows that exercise the Tardigrade software package.
The Tardigrade software package is an implementation of Eringen's micromorphic continuum theory with capabilities to support multiscale material modeling workflows. These capabailities include homogenization through the Micromorphic Filter, calibration of micromorphic materials models, and macroscale simulation in Tardigrade-MOOSE.
This repository investigates continuum upscaling of various direct numerical simulations (DNS) conducted in Abaqus finite element (FE), Ratel FE, and GEOS material point method (MPM) software. Verfication of the upscaling workflow is first investigated by considering DNS of trivial stress states for homogeneous materials, results of which indicate that classical continuum behavior is recovered as expected. DNS of heterogeneous materials are then considered.
Tardigrade-examples includes upscaling analyses of a variety of DNS. The WAVES computational workflow tool is used to automate these studies in a reproducible manner primarily through a collection of Python scripts.
A full upscaling study considers four main analysis stages:
- DNS
- Filter
- Calibrate
- Tardigrade-MOOSE
The included DNS investigate simple compression of a homogenoeous cylinder. Alternatively, externally performed DNS results may be upscaled that consider more interesting materials and stress states. DNS results are post-processed into the XDMF file format required by the Micromorphic Filter. This repository currently includes Python scripts for XDMF conversion of the Abaqus output database (ODB) and Ratel visualization toolkit (VTK) formats, with GEOS MPM VTK coming soon.
The Micromorphic Filter homogenizes DNS results onto a macroscale mesh where each element is considered a "filtering domain." Meshes are generated using Cubit. For users without access to Cubit, a collection of example meshes are included, but functionality is limited. Upscaling workflows consider macroscale meshes of varying element size using WAVES parametric study tools to analyze how homogenization changes as the number of filtering domains increase.
The homogenized, micromorphic stress and deformation measures output by the Micromorphic Filter are used to calibrate various material models. A unique calibration for each filtering domain (macroscale element) is produced. For verification studies of simple DNS, classical inear elasticity is calibrated, while several forms of micromorphic linear elasticity are calibrated for heterogeneous DNS. Calibration of elasto-plasticity will be included in a future release of this repository.
Finally, material calibration results are applied to macroscale simulations in Tardigrade-MOOSE with similar boundary and loading conditions as the original DNS. Python scripts are included that collect and summarize results across parametric studies for different analysis stages.
Documentation is included which details the upscaling methodology, steps for building and connecting required software, relevant micromorphic theory, how the Micromorphic Filter works, constitutive theories, and results of several upscaling studies.
Documentation for this repository is included here:
- Production version (
main
branch): WIP, provide link - Development version (
dev
branch): https://aea.re-pages.lanl.gov/models-and-simulations/tardigrade-examples
This repository uses the WAVES computational workflow tool (which utilizes the SCons automate build system) to configure and exectute upscaling workflows. Workflows contained in this repository use a wide array of software. As such, basic description is provided for how to properly install and link required software.
Currently, the following DNS codes are considered:
- Abaqus implicit finite element (FE) and
- Ratel implicit FE.
Abaqus explicit FE and GEOS explicit material point method (MPM) DNS will be added in the future.
Additionally, Cubit is used for a number of meshing operations. For users without access to Cubit,
several example meshes are contained in model_package/meshes/
, however, functionality
of workflows will be limited.
Tardigrade software products include:
- Micromorphic Filter
- Tardigrade-MOOSE
- Micromorphic Calibration Tool
- Micromorphic Linear Elastic Constraints
The Tardigrade software must be properly configured to perform any upscaling analyses. The DNS software, on the other hand, is not necessarily required.
Copyright (c) 2024, Triad National Security, LLC. All rights reserved.
This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration. All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare. derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
A shared `AEA Compute environment`_ is maintained on AEA servers. See the `AEA Compute environment`_ documentation for the official use and activation instructions. A minimal activation description is included below for convenience.
Add the AEA modulefiles directory
$ module use /projects/aea_compute/modulefiles
Load the shared environment modulefile
$ module load tardigrade-examples-env
For users external to LANL systems, an environment to run workflows in this repository can be installed in a Conda environment with the Conda package manager. See the Conda installation and Conda environment management documentation for more details about using Conda.
Create the environment if it doesn't exist
$ conda env create --name tardigrade-examples-env --file environment.yml
Activate the environment
$ conda activate tardigrade-examples-env
The SCons automated build system is used to execute workflows.
This section will discuss some common build operations. An abbreviated
options description can be displayed with scons -H
. For a full list of SCons command line options and target
build behavior, see the SCons manpage. The SCons manpage is also installed with Scons in the environment and
can be opened from the command line as man scons
in the `AEA Compute environment`_. In local environments, the
manpage may not be in the man
program's search path, MANPATH
. You can find the manpage file and make them
available with something similar to any of the following, in increasing order of required background knowledge.
# Activate the environment conda activate tardigrade-examples-env # Find the scons manpage file $ find $CONDA_PREFIX -name scons.1 /path/to/tardigrade-examples-env/scons.1 # Open manpage directly $ man $CONDA_PREFIX/scons.1 # Link SCons manpage to expected path and update MANPATH $ ln -s $CONDA_PREFIX/scons.1 $CONDA_PREFIX/man/man1/scons.1 $ export MANPATH=$MANPATH:$CONDA_PREFIX/man $ man scons
View project specific command line options
$ scons -h ...
This project limits the default target list to the documentation with the SCons Default
command. Simulation
targets must be specified directly on the command line. The SCons "all targets" character, .
, may also be
specified to build every target in the repository, including all simulation targets. Simulation targets may be
specified by output file name or by target alias, which is set to match the parent directory for the target
configuration, e.g. Abaqus_elastic_cylinder
.
View the default targets and target aliases
$ scons -h ...
Build default targets
$ scons
Build all targets
$ scons .
Build a specific target
$ scons <target name>
Remove all build target artifacts
$ scons . --clean
Several WAVES workflows upscale DNS run by others from the CU Boulder PSAAP project and stored on the PetaLibrary. These DNS results may be copied using the following command:
$ scons --peta-data-copy
A user will be asked for their identikey, password, and a dual authentication requrest before the secure copy (SCP) transfers files.
Note
This data may only be accessed for users with a Colorado ResearchComputing account with an allocation to the appropriate PSAAP user group.
Paths to required software are specified by modifying the contents of the
config.yml
file in the root directory.
By default, these paths are empty so they must be configured. Upon using
scons -h
, a user may see a list of local options for
Upon executing the scons -h
command, one may se a number of local options
including --config-software
. Additionally, a user may modify the contents
of config.yml
directly.
Configure the paths to required software
$ scons --config-software
The user will be asked if new or additional paths will be appended to the
config.yml
file. Some of these paths are paths to executable programs
(e.g. Abaqus, Ratel, and Tardigrade-MOOSE), while some are paths to Python
programs and scripts.
The config.yml
file is read into the SCons configuration file (SConstruct
).
The YAML file is parsed into a dictionary where each key corresponds to a program and
each entry is a list of program paths.
For exeuctable programs, the waves.scons_extensions.find_program()
function
is used to search the list of paths with the first executable found being set as
the program path.
For paths to importable Python objects, only the last path in the list is set.
Unlike software projects, the primary model/simulation project tests are the successful completion of some subset of the simulation targets. If the selected simulations run successfully, then the target passes. Secondary project tests will use SCons to execute unit and integration testing for project specific scripts, such as journal files and Python processing scripts.
Build the required target(s). Test targets may not be part of the default target list. If so, each target will need to be listed explicitly or the "all targets" character,
.
, should be used to build all project targets.$ scons <target_1_name> <target-2_name>
Run all simulation and test targets. Try to run all targets even if some fail.
scons . --keep-going
When testing CLI changes locally, the waves module must be run as a script. We must also set the PYTHONPATH
in order to include the current waves module when operating on a configuration that imports waves.
Below is an example of a visualization test of an SConstruct file using the local waves module.
$ pwd path/to/local/git/clone/waves/ $ PYTHONPATH=$PWD python -m waves.main visualize . --sconstruct /path/to/local/SConstruct
The documentation build is also automated with SCons as the documentation
target alias.
Build all documentation targets
$ scons documentation
Build the HTML documentation
$ scons html