64 skills found · Page 1 of 3
LivingMatterLab / CANNWhen using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.org/10.1016/j.cma.2022.115731 and the relevant other papers from this repo
tgulikers / ABAQUS ANN Constitutive ModelComputational framework to implement an artificial neural network based constitutive model in Abaqus for mesh coarsening
a-latyshev / Dolfinx External OperatorExtension of DOLFINx implementing the concept of external operator
kailaix / NNFEM.jlNeural Network Approach for Data-Driven Constitutive Modeling
jpsferreira / UMAT ABAQUS LibraryA composable UMAT framework for finite-strain constitutive modelling of soft biological tissues and filamentous networks in ABAQUS.
bessagroup / RvesimulatorAutomated representative volume element simulator via abaqus for material constitutive law discovery
filippo-masi / Thermodynamics Neural NetworksThermodynamics-based Artificial Neural Networks
adtzlr / MatadiMaterial Definition with Automatic Differentiation
AnargyrosKarakalas / UMAT 3DABAQUS Subroutine for the Implementation of Thermomechanical Constitutive Model for Shape Memory Alloys
BBahtiri / Deep Learning Constitutive ModelA physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.
longbiscuit / DuncanEB Abaqus6.14 5 UMAT Constative ModelThis 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.
MAteRialMOdelingToolbox / MarmotThe alpine :mountain_snow: material modeling toolbox Marmot. Documentation:
superdurszlak / SubroutineTestAbaqus 6.14 plugin for user-defined constitutive models testing
jenovencio / Fortran Library For Material Constitutive ModelsThis 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.
abuganza / NN Aniso UMATNeural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT
meghbali / ANNElastoplasticityNeural Network Approach for Elastoplastic Constitutive Modeling
Hillgaertner / CANNConstitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
mattoverby / Admm Elastic ScaADMM ⊇ Projective Dynamics: Fast Simulation of General Constitutive Models
XJTU-Zhou-group / ABAQUS UMAT 316ss Zr4This repository contants INP files and subroutine codes which are unified elasto-viscoplastic constitutive model for 316 stainless steel and Zircaloy-4
aschowtjak / ADAPTADAPT 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 implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such as strain or displacement fields for the model calibration. The latter one is based on a robust interpolation scheme for irregular data sets and meshes/query points.