3 papers
math.NA2023
Statistical higher-order multi-scale method for nonlinear thermo-mechanical simulation of random composite materials with temperature-dependent properties
Hao Dong, Junzhi Cui
Stochastic multi-scale modeling and simulation for nonlinear thermo-mechanical problems of composite materials with complicated random microstructures remains a challenging issue.…
physics.comp-ph2023
Self-optimization wavelet-learning method for predicting nonlinear thermal conductivity of highly heterogeneous materials with randomly hierarchical configurations
Jiale Linghu, Hao Dong, Weifeng Gao +1
In the present work, we propose a self-optimization wavelet-learning method (SO-W-LM) with high accuracy and efficiency to compute the equivalent nonlinear thermal conductivity of…
math.NA2023
Higher-order multi-scale deep Ritz method for multi-scale problems of authentic composite materials
Jiale Linghu, Hao Dong, Junzhi Cui +1
The direct deep learning simulation for multi-scale problems remains a challenging issue. In this work, a novel higher-order multi-scale deep Ritz method (HOMS-DRM) is developed fo…