• Corpus ID: 245218872

Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity

@article{Arora2021MachineLC,
  title={Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity},
  author={Rajat Arora},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.08676}
}
  • Rajat Arora
  • Published 16 December 2021
  • Computer Science
  • ArXiv
This work presents a novel physics-informed deep learning based super-resolution framework to reconstruct high-resolution deformation fields from low-resolution counterparts, obtained from coarse mesh simulations or experiments. We leverage the governing equations and boundary conditions of the physical system to train the model without using any high-resolution labeled data. The proposed approach is applied to obtain the super-resolved deformation fields from the low-resolution stress and… 

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