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Starred repositories

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This repository provides applications of machine learning techniques such as Artificial Neural Network, Principal Component Analysis, Support Vector Machines, etc.

Jupyter Notebook 2 1 Updated Jun 30, 2017

This library has a lot of Fortran Routines for model implicit material constitutive behavior. There are implementation of Neo-Hooken, Odgen and Hencky potential for hyperelastic behavior.

Fortran 24 15 Updated May 20, 2017
Python 4 Updated Feb 10, 2025

GPU enabled material modeling and inference library

C++ 16 11 Updated May 13, 2025

Modular consitutive modeling library for structural materials

C++ 14 27 Updated Feb 18, 2025

Automated representative volume element simulator via abaqus for material constitutive law discovery

Python 20 6 Updated Feb 18, 2025

Multi-fidelity probability machine learning

Jupyter Notebook 18 2 Updated Jan 21, 2025

An Abaqus framework based on user materials (Umat and Umatht) for multi-field problems. A thermo-mechanically coupled gradient-enhanced damage model is implemented.

Fortran 20 7 Updated Dec 2, 2024

The alpine 🏔️ material modeling toolbox Marmot. Documentation: https://materialmodelingtoolbox.github.io/Marmot/

C++ 18 8 Updated Apr 18, 2025

This repository contains the user-material (VUMAT) of the concrete damage-plasticity model 2 (CDPM2) for use in ABAQUS

Fortran 71 31 Updated Sep 26, 2019

Computing Irreversible Evolutions

Jupyter Notebook 14 6 Updated Mar 19, 2025

ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular imp…

Python 19 6 Updated Aug 13, 2021

A space-filling procedure to generate data from a constitutive model (viscoelastic-viscoplastic-damage) including moisture, strain rate, and nanoparticle volume fraction dependency.

MATLAB 2 2 Updated Sep 18, 2024
Fortran 129 61 Updated Jun 26, 2023
Python 15 7 Updated Mar 24, 2025

Tensorflow pretrained machine-learning model loaded inside Abaqus's Fortran subroutine

Jupyter Notebook 9 3 Updated Mar 14, 2024

This course covers the theory behind classical numerical methods (for example: Newton-Raphson, Runge-Kutta and LU factorisation), and uses Matlab as a tool to solve, analyse and visualise computati…

MATLAB 3 1 Updated Mar 19, 2024

Resources collected from various sources for subroutine documentations

Fortran 23 6 Updated Apr 6, 2024

The course covers concepts in probabilistic machine learning: independence, conditional independence, mixture models, EM algorithm, Bayesian networks, latent linear models, and algorithms for exact…

HTML 2 1 Updated Apr 2, 2024

MEng project to create a Python model to predict the strength and failure behaviours of the open-holed composite materials.

Jupyter Notebook 3 1 Updated May 31, 2023

Code used to simulate boundary value problems shown in the submitted paper - Assessing the role of non-linear contact mechanics for flow in fractures

C++ 4 1 Updated Jun 25, 2022

About Bayesian Optimization of fracture parameters in extended modified Bai–Wierzbicki (eMBW) model to fit fracture locus on force displacement curves

Jupyter Notebook 4 1 Updated Oct 8, 2023

Mesh-independent treatment for straightforward modelling of (non-linear) fracture mechanical processes using a mixed mode cohesive zone method

C++ 13 2 Updated Aug 10, 2021

ABAQUS_Mechanic_Fracture

6 1 Updated Jun 16, 2023

Numerical solution for coupling fluid flow and fracture propagation in porous media due to fluid injection

Python 14 5 Updated Feb 12, 2023
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