Evolutionary Topology Optimization for Heat Conduction Fields

作     者：LI Jiachun~(1,2) YE Bangyan~1 TANG Yong~1 GUAN Qiming~2 YANG Xudong~2 (1.College of Mechanical Engineering,South China University of Technology,Guangzhou 510640,China, 2.School of Mechanical Engineering and Automation,Guizhou University,Guiyug 550025,China) 

作者机构：College of Mechanical EngineeringSouth China University of TechnologyGuangzhou 510640China School of Mechanical Engineering and AutomationGuizhou UniversityGuiyuag 550025China College of Mechanical EngineeringSouth China University of TechnologyGuangzhou 510640China School of Mechanical Engineering and AutomationGuizhou UniversityGuiyuag 550025China 

出 版 物：《武汉理工大学学报》 (Journal of Wuhan University of Technology)

年 卷 期：2006年第28卷第S3期

页      面：876-881页

学科分类：080701[工学-工程热物理] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：Sponsored by National Natural Science foundation of China(grant no.5043601050375055) 

主　　题：evolution heat transport potential capacity dissipation topology optimization filtering technique 

摘      要：An effective evolutionary method for solving the structural topology design problems of heat conductive fields is presented in this *** topology optimization model based on minimizing the heat transport potential capacity dissipation of heat conductive field is then established and the corresponding sensitivity of objective function is derived to determine which elements would be removed of the heat conductive field for having the increment of the objective heat transport potential capacity dissipation minimized.A Filtering technique is employed in sensitivity field to eliminate numerical instabilities in the evolutionary procedure. Numerical examples are presented to demonstrate the validity and the engineering applicability of the evolutionary method by con- trast with SIMP method,meanwhile we can come to a conclusion that higher speed of convergence and clearer optimal topology dis- tribution without intermediate elements can be attained by using evolutionary strategy,with the results laying a reliable foundation for the subsequent shape and size optimizations in thermal engineering.