A novel neural-network non-ordinary state-based peridynamic method for large deformation and fracture analysis of hyperelastic membrane
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Publication:6609753
DOI10.1016/J.CMA.2024.117239MaRDI QIDQ6609753
Yu-Jie Chen, Yijun Liu, Yang Yang
Publication date: 24 September 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Cites Work
- Non-ordinary state-based peridynamic analysis of stationary crack problems
- Peridynamic modeling of membranes and fibers
- Reformulation of elasticity theory for discontinuities and long-range forces
- A modified rate-dependent peridynamic model with rotation effect for dynamic mechanical behavior of ceramic materials
- Possible causes of numerical oscillations in non-ordinary state-based peridynamics and a bond-associated higher-order stabilized model
- Coupling of FEM meshes with peridynamic grids
- Peridynamic states and constitutive modeling
- Analysis of dynamic crack propagation in two-dimensional elastic bodies by coupling the boundary element method and the bond-based peridynamics
- Modeling via peridynamics for large deformation and progressive fracture of hyperelastic materials
- Peridynamic Theory and Its Applications
- A machine-learning aided multiscale homogenization model for crystal plasticity: application for face-centered cubic single crystals
- Peridynamic Differential Operator for Numerical Analysis
- A peridynamic Reissner-Mindlin shell theory
- Peridynamic bond-associated correspondence model: stability and convergence properties
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