CPShub / sim-dataLinks
This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how the datasets can be loaded.
☆16Updated 2 years ago
Alternatives and similar repositories for sim-data
Users that are interested in sim-data are comparing it to the libraries listed below
Sorting:
- ☆21Updated 11 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆17Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆24Updated 2 years ago
- Physics-informed radial basis network☆32Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆43Updated last year
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 4 months ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 4 years ago
- ☆11Updated 2 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Updated last year
- ☆58Updated 2 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- ☆42Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆67Updated 4 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆18Updated last month
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated 2 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆18Updated 10 months ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- ☆12Updated last year
- ☆32Updated 3 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- ☆24Updated 7 months ago
- ☆19Updated last year
- Phase Field Fracture modelling in COMSOL☆26Updated 3 years ago
- ☆13Updated last year
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆14Updated 2 years ago
- IGAFrac (short for Isogeometric Analysis of Fracture) is a MATLAB code for fracture simulation.☆27Updated 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…☆23Updated 2 years ago