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:
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated last year
- ☆19Updated 9 months ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 10 months ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- ☆11Updated last year
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆13Updated 2 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- ☆53Updated 2 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- Thermodynamics-based Artificial Neural Networks☆26Updated 2 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆14Updated 3 weeks ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated last month
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆20Updated last month
- ☆24Updated 4 months ago
- ☆13Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- ☆40Updated last year
- ☆12Updated 11 months ago
- Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials☆26Updated 4 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆16Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 10 months ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆21Updated 3 weeks ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆49Updated this week
- This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus☆19Updated 5 years ago
- Abaqus/Standard user element subroutine (UEL) for hyperelastic materials in total Lagrangian framework using standard displacement formul…☆15Updated this week
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- ☆11Updated last year
- Density-based topology optimization via the deep energy method☆10Updated 2 years ago