Solving elastodynamics via physics-informed neural network frequency domain method-Reference-Cited by-同舟云学术

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Solving elastodynamics via physics-informed neural network frequency domain method

Published:2023-11 Issue: Volume:258 Page:108575
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Liang Ruihua^ORCID,Liu Weifeng^ORCID,Xu Lihui,Qu Xiangyu^ORCID,Kaewunruen Sakdirat

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering,Ocean Engineering,Aerospace Engineering,Applied Mathematics

Reference72 articles.

1. Experimental and DEM investigation of axially-loaded behaviours of IWP-based structures;Fu;Int J Mech Sci,2022

2. Numerical investigation of vibration-induced cavitation for gears considering thermal effect;Ouyang;Int J Mech Sci,2022

3. Mesh-free micromechanical modeling of inverse opal structures;Dosta;Int J Mech Sci,2021

4. Nonlinear responses of longitudinally coupled slab tracks exposed to extreme heat waves;Li;Eng Struct,2023

5. Optimized machine learning approaches for the prediction of viscoelastic behavior of modified asphalt binders;Hosseini;Constr Build Mater,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Solving seepage equation using physics-informed residual network without labeled data;Computer Methods in Applied Mechanics and Engineering;2024-01

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