QamarQQ

rvesimulator

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

piglot

A package for the optimisation of numerical responses

CDDM

Cooperative Data-Driven Modeling

CRATE

CRATE: Accurate and efficient clustering-based nonlinear analysis of heterogeneous materials through computational homogenization

3dasm_course

Data-Driven Design & Analysis of Structures & Materials (3dasm)

abaqus-subroutine-debugging

Debug the abaqus subroutines

ABAQUS_NN

aidd

Delamination size estimation in composite laminates by using deep neural networks, especially image segmentation and RNNs.

CDM_COMP

Continuum Damage Mechanics of Composite Materials

CDM_LD

CDM based on largde deformation approach

CompositeMicromechanics_Weibull

A Jupyter Notebook that aims to chow how Weibull analysis can be applied to predict when will fibres of a fibre composite fail.

CSMA-Workshop-in-Deep-Learning

CSMA Junior Workshop on Deep Learning and constitutive modeling

Extended-SCA-and-FFT-based-strain-refinement-method-

This is a MATLAB code for three stage full-field self-consistent clustering analysis (SCA) for 3D woven composite RUC

f3dasm_simulate

Simulation extension of f3dasm

FE_intepolator

FEM-to-Generate-Composite-RVEs

FE compression method to generate 2D RVEs of composites

jintegral

Microscale-GNN-Surrogate

MultiscaleElasticWovenNeuralNet

original data bases and codes related to "A multiscale deep learning model for elastic properties of woven composites"

Nonlinear-shear-model

This folder contains the nonlinear shear model for composites

Numerical-Tangent-UMAT

Numerical Computation of Material Tangent in Implicit Finite Element Analysis: Implementation within Abaqus UMAT Subroutine

PhaseFieldComp

Open-source code for phase field modelling of Composite Materials

PINN_Comp_Mech

PINN program for computational mechanics

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

sciann-applications

A place to share problems solved with SciANN

TANN-multiscale

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

Thermodynamics-Neural-Networks

Thermodynamics-based Artificial Neural Networks

UMAT_Lefevre_Sozio_Lopez-Pamies

Abaqus UMAT subroutine for a large family of finite viscoelasticity models

viscoelastic_viscoplastic_model

A finite element implementation of a viscoelastic viscoplastic constitutive model using the deal.ii library with the option to include a pretrained Deep-Learning model