Using image processing techniques in computational mechanics

DOI10.1016/j.camwa.2022.11.024OpenAlexW4320169633MaRDI QIDQ2697790

Stephen Trent, Sadok Sassi, M. Shadi Mohamed, Jamil M. Renno

Publication date: 13 April 2023

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2022.11.024

zbMATH Keywords

finite element methodimage processingcomputational mechanicsapplied mechanicsconditional generative adversarial networkreal-time predictions

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Computer science (68-XX)

Uses Software

• Adam
• CycleGAN
• pix2pix

Cites Work

• GPU acceleration for FEM-based structural analysis
• Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering
• SciANN: a Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks
• Image-based modelling for adolescent idiopathic scoliosis: mechanistic machine learning analysis and prediction
• Three-dimensional simulation of scalp soft tissue expansion using finite element method
• Computational mechanics enhanced by deep learning
• Improving realism of a surgery simulator: linear anisotropic elasticity, complex interactions and force extrapolation

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