Improved Particle Swarm Optimization for Solving Transient Nonlinear Inverse Heat Conduction Problem in Complex Structure

作     者：ZHOU Ling ZHANG Chunyun BAI Yushuai LIU Kun CUI Miao 周凌;张春云;白宇帅;刘焜;崔苗

作者机构：Key Laboratory of Advanced Technology for Aerospace Vehicles of Liaoning ProvinceState Key Laboratory of Structural Analysis for Industrial EquipmentDalian University of TechnologyDalian 116024P.R.China 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2021年第38卷第5期

页      面：816-828页

核心收录：

学科分类：08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Natural Science Foundation of China(Nos.12172078,51576026) Fundamental Research Funds for the Central Universities in China(No.DUT21LK04) 

主　　题：improved particle swarm optimization transient nonlinear heat conduction problem inverse identification finite element method complex structure 

摘      要：Accurately solving transient nonlinear inverse heat conduction problems in complex structures is of great importance to provide key parameters for modeling coupled heat transfer process and the structure’s optimization *** finite element method in ABAQUS is employed to solve the direct transient nonlinear heat conduction *** particle swarm optimization(PSO)method is developed and used to solve the transient nonlinear inverse *** investigate the inverse performances,some numerical tests are *** conditions at inaccessible surfaces of a scramjet combustor with the regenerative cooling system are inversely *** results show that the new methodology can accurately and efficiently determine the boundary conditions in the scramjet combustor with the regenerative cooling *** solving the transient nonlinear inverse problem,the improved particle swarm optimization for solving the transient nonlinear inverse heat conduction problem in a complex structure is verified.