Source codes and simulation data for the finite element implementation of the conventional and localizing gradient damage methods in ABAQUS

Abstract

This data article presents the source codes and obtained simulation data for running numerical fracture simulation in the commercial finite element package, ABAQUS. The computational models implemented through these source codes pertain to the conventional and localizing gradient damage method which are used for the modelling of the fracture phenomena in the components and structures. For a detailed description refer to “A comparative study and ABAQUS Implementation of Conventional and Localizing Gradient Enhanced Damage Models [1]”. The implementation is carried out using a feature in the ABAQUS software called the user defined subroutines. The subroutines are a set of coded files which are used to implement any newly developed computational models depicting actual physical phenomena which are not already available in any commercial software. The user subroutines used in this implementations are UEL and UMAT. The present implementation is very user friendly in the sense that the user needs to just type a couple of commands in the ABAQUS command application to run the simulations. Moreover, the ability of the ABAQUS to run large scale simulations using a very sparse amount of computational resources enables researchers and engineers with limited resources to take advantage of a very advanced computational fracture simulation technique.

A simple and efficient implementation of localizing gradient damage method in COMSOL for fracture simulation

“…Notable works on the computer implementation of discrete methods include extended FEM (XFEM) (Giner et al, 2009;Shi et al, 2010;Rokhi and Shariati, 2013;Sutula et al, 2018;Ding et al, 2020;Jafari et al, 2022) and cohesive zone method (Park and Paulino, 2012). For smeared methods, the popular works on computer implementation include the phase field method (Msekh et al, 2015;Molnar and Gravouil, 2017;Zhou et al, 2018;Fang et al, 2019;Molnar et al, 2020;Chen and Wu, 2022;Rahaman, 2022), peridynamics (Huang et al, 2019;Bie et al, 2020, Jenabidehkordi andRabczuk, 2022) and gradient damage method (Seupel et al, 2018;Sarkar et al, 2019a, Sarkar et al, 2019b, Sarkar et al, 2022bZhang et al, 2022).…”