Physics-informed deep learning for three-dimensional transient heat transfer analysis of functionally graded materials

DOI10.1007/s00466-023-02287-xOpenAlexW4362673252MaRDI QIDQ6164280

Xiaoying Zhuang, Yunzheng Zhu, Hongwei Guo, Xiaolong Fu, Timon Rabczuk

Publication date: 27 July 2023

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00466-023-02287-x

zbMATH Keywords

activation functionexponential material property variationRunge-Kutta discrete time scheme

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Inhomogeneity in solid mechanics (74E05) Thermal effects in solid mechanics (74F05) Finite difference methods applied to problems in solid mechanics (74S20) Numerical and other methods in solid mechanics (74S99)

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A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems

Cites Work

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