alovberg / cumulative-damage-pytorchLinks
Physics-informed neural network for fatigue crack propagation (Paris' law)
☆17Updated 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
Sorting:
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 6 months ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆13Updated last year
- FEM enhanced neural network☆19Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 7 months ago
- Density-based topology optimization via the deep energy method☆15Updated 2 years ago
- ☆11Updated 5 years ago
- ☆43Updated last year
- ☆23Updated 11 months ago
- ☆58Updated 2 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- A viscoplastic strain-softening Mohr-Coulomb UMAT☆19Updated 4 years ago
- Optimal calibration of continuum cyclic constitutive model using Particle Swarm Optimization☆16Updated 7 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning☆58Updated 3 years ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆19Updated 2 months ago
- A phase-field model for brittle fracture is implemented in the commercial finite element software Abaqus by means of UEL subroutines. The…☆32Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- Code for the paper: Phase-Field Finite Deformation Fracture with an Effective Energy for Regularized Cracks.☆14Updated last year
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆28Updated 2 years ago
- Prediction and control of fracture paths in disordered architected materials using graph neural networks☆12Updated 2 years ago
- FE model updating in Python☆10Updated 4 years ago
- Finite element method for linear and nonlinear beams and plates☆11Updated 7 years ago
- # XFEM_Fracture2D ### Description This is a Matlab program that can be used to solve fracture problems involving arbitrary multiple cr…☆54Updated 3 years ago
- The conventional theory of mechanism-based strain gradient plasticity is realized via ANSYS user programmable features for USERMAT subrou…☆10Updated last year
- Direct Mesh-free Topology Optimization using Neural Networks☆20Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago