AP1S1T / PINNs-SlopeStability-MohrCoulombLinks
This repository implements Physics-Informed Neural Networks (PINNs) for slope stability analysis based on the Mohr-Coulomb failure criterion. The aim is to evaluate slope stability under various conditions, providing insights into critical parameters such as safety factors, displacement, and stress distribution.
☆12Updated 4 months ago
Alternatives and similar repositories for PINNs-SlopeStability-MohrCoulomb
Users that are interested in PINNs-SlopeStability-MohrCoulomb are comparing it to the libraries listed below
Sorting:
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-…☆14Updated 4 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- Code for the paper: Phase-Field Finite Deformation Fracture with an Effective Energy for Regularized Cracks.☆17Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆19Updated last month
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆18Updated 2 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- The code is for two phase demonstration as example 1 shown in the paper - Gao, Yi, and Yongming Liu. "Reliability-based topology optimiza…☆11Updated 4 years ago
- MATLAB codes for the RPIM-NNS☆13Updated last year
- ☆16Updated 2 years ago
- ☆46Updated 2 years ago
- ☆27Updated last year
- ☆16Updated 2 years ago
- Density-based topology optimization via the deep energy method☆18Updated 3 years ago
- Qi ZHANG's simulation code☆11Updated last year
- A finite element code for prediction of the response of viscoelastic materials☆13Updated 2 years ago
- Optimal calibration of continuum cyclic constitutive model using Particle Swarm Optimization☆16Updated 7 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆18Updated 9 months ago
- Mathematica codes for nonlocal elasticity (dual-horizon non-ordinary state-based peridynamics), including library functions and numerical…☆13Updated 3 years ago
- Various finite element implementations for composite laminate plates in MatLab☆11Updated 8 years ago
- Machine learning-based multiscale topology optimization☆19Updated 2 years ago
- ☆59Updated 2 years ago
- ☆21Updated last year
- BB_PD is a three-dimensional bond-based peridynamics code developed in MATLAB and C☆54Updated 2 years ago
- Contains codes associated with our paper "Gyroid-like metamaterials: Topology optimization and Deep Learning"☆17Updated 2 years ago
- ☆17Updated 2 years ago
- ☆11Updated 5 years ago
- An-ordinary-state-based-peridynamics-OSBPD-☆19Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago