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: 8 days 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 (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-23T22:51:30.000Z (28 days ago)
• Last Synced: 2024-10-24T11:59:47.226Z (27 days ago)
• Topics: calibration, finite-element, material-model, scr-2690, snl-applications, snl-science-libs
• Language: C++
• Homepage:
• Size: 4.36 MB
• Stars: 6
• Watchers: 4
• Forks: 1
• 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