Adjoint Optimization Method for Head Shape of High- ‎Speed Maglev Train

Journal of Applied Fluid Mechanics

H. C. Li¹  L. Zhang¹  Z. M. Yang¹  R. Li² 

[1] Key Laboratory of Traffic Safety on Track of Ministry of Education, Central South University, Changsha,‎Hunan 410075, China;School of Engineering, Department of Civil Engineering, University of Birmingham,B15 2TT Birmingham, UK;

关键词: maglev;    aerodynamic drag;    adjoint method;    optimization.‎;   

DOI  :  

来源: DOAJ

【 摘 要 】

The head shape of a high-speed maglev train was optimized in this study, based on the adjoint method, ‎and the aerodynamic drag of four optimized train models were simulated and compared using different ‎control point generation methods. The effectiveness of using the adjoint method to develop a ‎compressible model for a maglev train was verified. The results show that the adjoint matrix optimization ‎method can quickly and effectively capture the shape characteristics of the train head that are sensitive to ‎aerodynamic resistance. When the design variables of the head are not defined separately, the grid control ‎point set and surface control point set can be used to carry out the adjoint closed-loop optimization of the ‎train head shape, and the exchange control point generation method can be used to perform closed-loop ‎optimization. The results of a numerical simulation show that the optimized train model reduces ‎aerodynamic resistance by approximately 4.8%‎‎.

【 授权许可】

Unknown