This repository provides numerical examples of the Least Squares Weighted Residual loss function for physics-informed neural network-based computational solid mechanics framework.
Numerical examples include:
- 2D pure bending beam problem
- 2D in-plain stretching preforated plate problem
- 3D streching cube with a sphere hollow problem
Information regarding the numerical examples, please refer to our paper.
- TensorFlow 2.8.0
- Keras 2.8.0
- SciPy 1.8.0
https://doi.org/10.1007/s00466-022-02252-0
[1] J. Bai, T. Rabczuk, A. Gupta, L. Alzubaidi, Y. Gu, A Physics-Informed Neural Network technique based on a modified loss function for computational 2D and 3D solid mechanics, Computational Mechanics, (2022).