marcin-laskowski / Stress-Distribution-with-Deep-LearningLinks
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
☆29Updated 7 years ago
Alternatives and similar repositories for Stress-Distribution-with-Deep-Learning
Users that are interested in Stress-Distribution-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆33Updated 5 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- ☆37Updated 7 years ago
- ☆24Updated last year
- ☆59Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- ☆35Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆25Updated 2 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆24Updated 5 months ago
- ☆46Updated last year
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 3 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆41Updated 8 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆69Updated 6 months ago
- TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain☆47Updated 4 years ago
- Graph neural networks for stress and strain fields prediction☆56Updated 2 years ago
- ☆22Updated 4 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Updated 7 years ago
- Direct Mesh-free Topology Optimization using Neural Networks☆20Updated 2 years ago
- ☆42Updated 3 years ago
- ☆20Updated last year
- ☆30Updated 3 years ago
- Physics-informed radial basis network☆33Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆53Updated 4 years ago
- ☆16Updated last year
- ☆15Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- ☆27Updated 9 months ago