Numerical manifold method with local mesh refinement for thermo-mechanical coupling analysis in rocks DOI
Kai Wang, Chun’an Tang, Xikun Qian

et al.

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 179, P. 107009 - 107009

Published: Dec. 21, 2024

Language: Английский

Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications DOI

Haoteng Hu,

Lehua Qi, Xujiang Chao

et al.

Thin-Walled Structures, Journal Year: 2024, Volume and Issue: 205, P. 112495 - 112495

Published: Sept. 24, 2024

Language: Английский

Citations

35
Differentiable finite element method with Galerkin discretization for fast and accurate inverse analysis of multidimensional heterogeneous engineering structures DOI Creative Commons
Xi Wang, Zhen‐Yu Yin, Wei Wu

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 437, P. 117755 - 117755

Published: Jan. 22, 2025

Language: Английский

Citations

4
Interpretable physics-encoded finite element network to handle concentration features and multi-material heterogeneity in hyperelasticity DOI
Xi Wang, Zhen‐Yu Yin

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 431, P. 117268 - 117268

Published: Aug. 8, 2024

Language: Английский

Citations

10
Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites DOI
Binbin Yin,

Jiasheng Huang,

Weikang Sun

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 431, P. 117309 - 117309

Published: Aug. 29, 2024

Language: Английский

Citations

9
A nonlocal energy-informed neural network for peridynamic correspondence material models DOI
Xiang‐Long Yu, Xiaoping Zhou

Engineering Analysis with Boundary Elements, Journal Year: 2024, Volume and Issue: 160, P. 273 - 297

Published: Jan. 13, 2024

Language: Английский

Citations

4
Transfer learning enhanced nonlocal energy-informed neural network for quasi-static fracture in rock-like materials DOI
Xiaoping Zhou, Xiang‐Long Yu

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 430, P. 117226 - 117226

Published: July 25, 2024

Language: Английский

Citations

4
Energy-based PINNs using the element integral approach and their enhancement for solid mechanics problems DOI
Junwei Chen,

Jian-Xiang Ma,

Zhihe Zhao

et al.

International Journal of Solids and Structures, Journal Year: 2025, Volume and Issue: unknown, P. 113315 - 113315

Published: Feb. 1, 2025

Language: Английский

Citations

0
A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures DOI
Han Wang, Liwei Wu, Dan Huang

et al.

Engineering With Computers, Journal Year: 2024, Volume and Issue: unknown

Published: June 19, 2024

Language: Английский

Citations

2
A novel framework for fatigue cracking and life prediction: Perfect combination of peridynamic method and deep neural network DOI
Liwei Wu, Han Wang, Dan Huang

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 433, P. 117515 - 117515

Published: Nov. 4, 2024

Language: Английский

Citations

2
A nonlocal energy-informed neural network based on peridynamics for elastic solids with discontinuities DOI
Xiang‐Long Yu, Xiaoping Zhou

Computational Mechanics, Journal Year: 2023, Volume and Issue: 73(2), P. 233 - 255

Published: Aug. 23, 2023

Language: Английский

Citations

6