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Every time we want to use a new material model for an FSI simulation, we need to add a new case and test it.
Solution
The CANN model takes the terms of the strain energy function in the form of a parameter table and gets the stress and elasticity tensors from it. This would make it easy to use non-standard/new material models. We can also test the models discovered by the constitutive artificial neural network developed by Ellen Kuhl's group. Here is how it can be implemented: https://arxiv.org/pdf/2404.13144
Additional context
NOTE: The implementation is not linked to the neural network for model discovery. This is just a way to use the newly discovered models for FSI simulations.
Code of Conduct
I agree to follow this project's Code of Conduct and Contributing Guidelines
The text was updated successfully, but these errors were encountered:
Problem
Every time we want to use a new material model for an FSI simulation, we need to add a new case and test it.
Solution
The CANN model takes the terms of the strain energy function in the form of a parameter table and gets the stress and elasticity tensors from it. This would make it easy to use non-standard/new material models. We can also test the models discovered by the constitutive artificial neural network developed by Ellen Kuhl's group. Here is how it can be implemented: https://arxiv.org/pdf/2404.13144
Additional context
NOTE: The implementation is not linked to the neural network for model discovery. This is just a way to use the newly discovered models for FSI simulations.
Code of Conduct
The text was updated successfully, but these errors were encountered: