BBahtiri / Deep-Learning-Constitutive-ModelLinks
A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.
☆18Updated 3 weeks 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:
- ☆19Updated last year
- ☆23Updated 9 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆12Updated last year
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 5 months ago
- ☆55Updated 2 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 5 months ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆42Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆23Updated 2 years ago
- ☆42Updated last year
- Physics-informed radial basis network☆31Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- ☆41Updated 3 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 3 months ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- FEM enhanced neural network☆18Updated 2 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…☆23Updated 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…☆66Updated 3 months ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆25Updated 2 months ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Geometrically-Nonlinear Shell Finite Element Analysis☆31Updated 4 years ago
- 3D FEM code (matlab)☆33Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆15Updated 2 years ago
- Phase Field Fracture modelling in COMSOL☆26Updated 3 years ago
- ☆21Updated 11 months ago