High efficient load paths analysis with U* index generated by deep learning

DOI10.1016/j.cma.2018.10.012zbMath1440.74450OpenAlexW2898381732MaRDI QIDQ1986717

Chenchen Sun, Qing-Guo Wang, Nan Wu, Geng Zhang

Publication date: 9 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2018.10.012

zbMATH Keywords

artificial intelligencefinite element analysisartificial neural networkdeep learningload transfer index

Mathematics Subject Classification ID

Classical linear elasticity (74B05) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30)

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Cites Work

• Computational mechanics enhanced by deep learning
• A multiscale multi-permeability poroplasticity model linked by recursive homogenizations and deep learning
• Numerical implementation of a neural network based material model in finite element analysis
• New concepts of transferred and potential transferred forces in structures