BBahtiri / Deep-Learning-Constitutive-ModelLinks
A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.
☆20Updated 3 months ago
Alternatives and similar repositories for Deep-Learning-Constitutive-Model
Users that are interested in Deep-Learning-Constitutive-Model are comparing it to the libraries listed below
Sorting:
- ☆20Updated last year
- ☆59Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- Physics-informed radial basis network☆33Updated last year
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Updated 4 years ago
- ☆46Updated last year
- ☆24Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 8 months ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 7 months ago
- Graph Convolutional Networks for Unstructured Flow Fields☆11Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 2 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆29Updated 3 weeks ago
- ☆42Updated 3 years ago
- This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used…☆26Updated 3 years ago
- ☆12Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆69Updated 5 months ago
- Physics-guided neural network framework for elastic plates☆47Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆19Updated 2 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- Phase Field Fracture modelling in COMSOL☆27Updated 3 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆21Updated 6 months ago
- FEM enhanced neural network☆20Updated 2 years ago
- ☆23Updated last year
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Updated last year