Thermodynamics-based Artificial Neural Networks

Material Definition with Automatic Differentiation

This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used in abaqus6.14-5 to calculate the dam settlement deformation.

Extension of DOLFINx implementing the concept of external operator

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

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

Neural integration for constitutive equations

This ABAQUS UHYPER subroutine implements the hyperelastic energy density derived in Journal of the Mechanics and Physics of Solids 122 (2019), 364–380 for the macroscopic elastic response of non-Gaussian elastomers weakened by an isotropic and non-percolative distribution of equiaxed pores. This result is valid for any choice of I1-based incompr…

Differentiable Tensors based on NumPy Arrays

A simple crystal plasticity model for single crystal, developed in C++.

Model of thermo-hyperelasticity using Constitutive Artificial Neural Networks

CSMA Junior Workshop on Deep Learning and constitutive modeling

Multi Variable Non linear curve fit apply to material characterization in dynamic behavior.

Fortran implementation of modified cam clay.

Repository for work on probabilistic traffic flow modelling through constitutive law estimation on road (link) level

Simplified version of the structural constitutive model for soft tissues using exp ensemble