https://github.com/sandialabs/calibr8
Material model calibration and error estimation research code
https://github.com/sandialabs/calibr8
calibration finite-element material-model scr-2690 snl-applications snl-science-libs
Last synced: 12 months ago
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Material model calibration and error estimation research code
- Host: GitHub
- URL: https://github.com/sandialabs/calibr8
- Owner: sandialabs
- License: mit
- Created: 2021-08-30T19:09:50.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2025-06-10T14:33:18.000Z (12 months ago)
- Last Synced: 2025-06-10T16:20:15.075Z (12 months ago)
- Topics: calibration, finite-element, material-model, scr-2690, snl-applications, snl-science-libs
- Language: C++
- Homepage:
- Size: 4.52 MB
- Stars: 7
- Watchers: 5
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
CALIBR8
========
## What is This?
CALIBR8 is a state-of-the-art material model calibration code that is
capable of executing on high performance machines in a massively parallel
context. CALIBR8 can perform material model calibration using either
adjoint-based or forward mode sensitivities using automatic differentiation
(AD).
## Getting Started
The [documentation](https://sandialabs.github.io/calibr8/) is the best
place to begin learning about CALIBR8, how to install it, its capabilities,
and how to use it.
## Automatic Differentiation
The use of AD to compute the required gradients for
material model calibration is discussed in depth in
[this](https://arxiv.org/abs/2010.03649) article. The code makes use of
[Sacado](https://github.com/trilinos/Trilinos/tree/master/packages/sacado)
for the purposes of AD.
If you've found CALIBR8 useful in your research, please cite the paper
```tex
@article{seidl2022calibration,
title={Calibration of elastoplastic constitutive model parameters from full-field data with automatic differentiation-based sensitivities},
author={Seidl, D Thomas and Granzow, Brian N},
journal={International Journal for Numerical Methods in Engineering},
volume={123},
number={1},
pages={69--100},
year={2022},
publisher={Wiley Online Library}
}
```
##
At Sandia, Calibr8 is SCR# 2690.0