realhmadrid

realhmadrid's Stars

• jenovencio/Fortran-Library-for-Material-Constitutive-Models

  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.

  Language:Fortran2114

• LallyLabTCD/localBasisAbaqus

  This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus

  Language:Fortran1710

• MinhNguyenIKM/dem_hyperelasticity

  A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on the idea of minimum potential energy. The method is named "Deep Energy Method".

  Language:Python5426

• victorlefevre/UMAT_Lefevre_Sozio_Lopez-Pamies

  Abaqus UMAT subroutine for a large family of finite viscoelasticity models

  Language:Fortran164

• shuishengy/abaqus-umat-for-viscoelastcity

  A umat descripts viscoelastic characteristic of material for abaqus. This umat aimed at reproducing the viscoelastic simulation of abaqus in house. Welcome your correction

  Language:Fortran194

• irfancn/Abaqus-UMAT-viscoelastic

  Abaqus UMAT subroutine for viscoelastic model (Voigt) for implicit analysis.

  Language:Fortran198

• Bgolearn/BgoFace

  A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning | 【BgoFace软件分享】BiliBili link

  Language:Python11

• OussamaMedOunissi/Herve-and-Zaoui-Model

  A python implementation of the Herve and Zaoui analytical model for calculating homogenized elastic proprieties of composite material with spherical n-layered inclusion.

  Language:Python2

• s-whynot/CWRU-dataset

  Case Western Reserve University Bearing Fault Dataset

  226

• BristolCompositesInstitute/BristolCompositesInstitute.github.io

  Github landing page for software developed by the BCI.

  Language:Ruby2

• franciscofonseca96/thesis

  This is the code repository for a finite difference algorithm to solve fractional partial differential equations

  Language:MATLAB5

• Mark-Nawar/Differential-equation-solver

  Using Runge-Kuttah algorithm to solve a wide variety of differential equations

  Language:Python1

• NmBoyd/Differential-Equation-Solvers

  This repository is devoted to algorithms that can solve differential equations.

  Language:MATLAB1

• MathBioCU/WENDy

  WENDy (Weak-form Estimation of Nonlinear Dynamics) is a forward solver-free algorithm for estimating parameters in differential equations.

  Language:MATLAB42

• wavelet-and-multiscale-library/Marburg_Software_Library

  The Marburg Software Library is a collection of wavelet based c++ algorithms to solve multivariate partial differential equations.

  Language:C++62

• QuantumBFS/QuDiffEq.jl

  Quantum Algorithms for solving differential equations

  Language:Julia488

• LucMarechal/Soft-Robotics-Materials-Database

  Soft Robotics Materials Database

  Language:Python8117

• KianAghani/Mooney-Rivlin

  Language:Fortran2

• KianAghani/UHYPER

  Language:Fortran4

• eseckel/ai-for-grant-writing

  A curated list of resources for using LLMs to develop more competitive grant applications.

  Language:Python3.3k431

• zhiwehu/100_plus_Python_Projects_Challenge

  100+ Python Projects Challenge

  Language:Python1.4k237

• zhiwehu/Python-programming-exercises

  100+ Python challenging programming exercises

  27.1k6.9k

• jacojvr/UMATs

  User Materials (UMAT) for use in Abaqus and derivatives

  Language:Fortran89

• mholla/growth

  Subroutines and input files for modeling growth in Abaqus

  Language:Fortran106

• EoinMcEvoy/Neo-Hooke-VUMAT

  Abaqus VUMAT fortran subroutine for a Neo-Hookean material

  Language:Fortran1210

• hnrwagner/UMAT_Lecture_1

  Umat for linear elastic material behavior

  Language:Fortran7640

• Sina-Taghizadeh/UMAT_Hyperelastic

  Comparison of Abaqus Library, UMAT, and Analytical Solution for Neo-Hookean Hyperelastic Material Under Large Deformations

  Language:Fortran5

• jpsferreira/UMAT-ABAQUS

  A general framework to develop material models (UMAT) in ABAQUS (Dassault Systèmes)

  Language:Fortran6827

• lukemelas/EfficientNet-PyTorch

  A PyTorch implementation of EfficientNet

  Language:Python8k1.5k

• qubvel/efficientnet

  Implementation of EfficientNet model. Keras and TensorFlow Keras.

  Language:Python2.1k472