Kirk Ming Yeoh, Karthikayen Raju, Vincent Beng Chye Tan
{"title":"A Python script repository for multiscale modelling with Direct FE2 in Abaqus","authors":"Kirk Ming Yeoh, Karthikayen Raju, Vincent Beng Chye Tan","doi":"10.1016/j.softx.2025.102267","DOIUrl":null,"url":null,"abstract":"<div><div>While computational homogenization via FE<sup>2</sup> is a useful multiscale modelling tool for many fields, conventional implementations often require an expert level of user involvement. To address this, this work presents a Python script repository to easily set up Direct FE<sup>2</sup> input files for multiscale modelling in Abaqus. The scripts take in user inputs defining the macroscale problem along with its microscale RVE and returns an Abaqus input file that can be readily submitted for analysis. As Direct FE<sup>2</sup> uses only functions which are readily available in Abaqus to perform computational homogenization, no user-defined subroutines are required. This repository seeks to provide researchers in various fields ease of access to multiscale modelling as a tool to enhance their work. Furthermore, it aims to foster collaboration between researchers working on the Direct FE<sup>2</sup> method and further promote its development.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"31 ","pages":"Article 102267"},"PeriodicalIF":2.4000,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025002341","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
While computational homogenization via FE2 is a useful multiscale modelling tool for many fields, conventional implementations often require an expert level of user involvement. To address this, this work presents a Python script repository to easily set up Direct FE2 input files for multiscale modelling in Abaqus. The scripts take in user inputs defining the macroscale problem along with its microscale RVE and returns an Abaqus input file that can be readily submitted for analysis. As Direct FE2 uses only functions which are readily available in Abaqus to perform computational homogenization, no user-defined subroutines are required. This repository seeks to provide researchers in various fields ease of access to multiscale modelling as a tool to enhance their work. Furthermore, it aims to foster collaboration between researchers working on the Direct FE2 method and further promote its development.
期刊介绍:
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.