南京航空航天大学学报（英文版）2021，Vol.38Issue(5)：816-828,13.
改进粒子群算法求解具有复杂结构的瞬态非线性热传导反问题
Improved Particle Swarm Optimization for Solving Transient Nonlinear Inverse Heat Conduction Problem in Complex Structure
摘要
Abstract
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 design. The finite element method in ABAQUS is employed to solve the direct transient nonlinear heat conduction problem. Improved particle swarm optimization(PSO)method is developed and used to solve the transient nonlinear inverse problem. To investigate the inverse performances,some numerical tests are provided. Boundary conditions at inaccessible surfaces of a scramjet combustor with the regenerative cooling system are inversely identified. The results show that the new methodology can accurately and efficiently determine the boundary conditions in the scramjet combustor with the regenerative cooling system. By 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.关键词
改进粒子群算法/瞬态非线性热传导问题/反向辨识/有限单元法/复杂结构Key words
improved particle swarm optimization/transient nonlinear heat conduction problem/inverse identification/finite element method/complex structure分类
航空航天引用本文复制引用
周凌,张春云,白宇帅,刘焜,崔苗..改进粒子群算法求解具有复杂结构的瞬态非线性热传导反问题[J].南京航空航天大学学报（英文版）,2021,38(5):816-828,13.基金项目
This work was supported by the Na?tional Natural Science Foundation of China(Nos.12172078,51576026)and the Fundamental Research Funds for the Central Universities in China(No.DUT21LK04). （Nos.12172078,51576026）
