alovberg / cumulative-damage-pytorch
Physics-informed neural network for fatigue crack propagation (Paris' law)
☆14Updated 3 years ago
Alternatives and similar repositories for cumulative-damage-pytorch:
Users that are interested in cumulative-damage-pytorch are comparing it to the libraries listed below
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆12Updated 2 years ago
- FEM enhanced neural network☆15Updated 2 years ago
- ☆49Updated last year
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆20Updated last month
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated last month
- ☆18Updated last year
- ☆20Updated 5 months ago
- ☆39Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆49Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆55Updated 10 months ago
- ☆35Updated 2 years ago
- Computational framework to implement an artificial neural network based constitutive model in Abaqus for mesh coarsening☆48Updated 6 years ago
- # XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple cr…☆49Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆55Updated 3 years ago
- Code for the paper: Phase-Field Finite Deformation Fracture with an Effective Energy for Regularized Cracks.☆13Updated 11 months ago
- Physics-guided neural network framework for elastic plates☆37Updated 3 years ago
- This library has a lot of Fortran Routines for model implicit material constitutive behavior. There are implementation of Neo-Hooken, Odg…☆24Updated 7 years ago
- PINN program for computational mechanics☆106Updated last year
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆16Updated 2 weeks ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning☆55Updated 3 years ago
- ☆9Updated last year
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆11Updated 6 months ago
- Multiscale Modeling☆41Updated 5 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆14Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆35Updated 7 months ago
- This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used…☆21Updated 2 years ago
- Optimal calibration of continuum cyclic constitutive model using Particle Swarm Optimization☆16Updated 7 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- Phase field fracture methods implemented by COMSOL. Numerical examples☆11Updated last year