Open-Source Codes of Topology Optimization: A Summary for Beginners to Start Their Research  

作　　者：Yingjun Wang Xinqing Li Kai Long Peng Wei 

机构地区：[1]National Engineering Research Center of Novel Equipment for Polymer Processing,The Key Laboratory of Polymer Processing Engineering of the Ministry of Education,Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing,South China University of Technology,Guangzhou,510641,China [2]State Key Laboratory of Alternate Electrical Power Systemwith Renewable Energy Sources,North China Electric Power University,Beijing,102206,China [3]State Key Laboratory of Subtropical Building Science,School of Civil Engineering and Transportation,South China University of Technology,Guangzhou,510641,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第10期1-34,共34页工程与科学中的计算机建模（英文）

基　　金：supported by the National Key R&D Program of China[Grant Number 2020YFB1708300];the National Natural Science Foundation of China[Grant Number 52075184].

摘　　要：Topology optimization(TO),a numerical technique to find the optimalmaterial layoutwith a given design domain,has attracted interest from researchers in the field of structural optimization in recent years.For beginners,opensource codes are undoubtedly the best alternative to learning TO,which can elaborate the implementation of a method in detail and easily engage more people to employ and extend the method.In this paper,we present a summary of various open-source codes and related literature on TO methods,including solid isotropic material with penalization(SIMP),evolutionary method,level set method(LSM),moving morphable components/voids(MMC/MMV)methods,multiscale topology optimization method,etc.Simultaneously,we classify the codes into five levels,fromeasy to difficult,depending on their difficulty,so that beginners can get started and understand the form of code implementation more quickly.

关 键 词：Topology optimization open-source code optimization methods code classification BEGINNERS 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]