Surrogate-based aerodynamic shape optimization of high-speed train heads: A review of four key technologies

• Published in: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit Part F: Journal of Rail and Rapid Transit, 2024-09, Vol.238 (8), p.907-920
• Main Authors: Wang, Hongbo, Wang, Shuangbu, Zhuang, Dayuan, Zhu, Zaiping, You, Pengcheng, Tang, Zhao, Ding, Guofu
• Format: Article
• Language: English
• Subjects: Aerodynamic characteristics; Aerodynamic stability; Air flow; Algorithms; Computational fluid dynamics; Design optimization; Energy consumption; High speed rail; Passenger comfort; Shape optimization
• ISSN: 0954-4097; 2041-3017
• DOI: 10.1177/09544097241251509

With the increase in running speed, the aerodynamic characteristics of high-speed trains have a significant impact on running stability, energy consumption and passenger comfort. Since the shape of the high-speed train head can directly influence the surrounding airflow, optimizing the head shape is the primary way to improve the aerodynamic performance of the train. This paper reviews current research studies on the surrogate-based aerodynamic shape optimization of high-speed train heads, aiming to provide a comprehensive reference for designers to enhance design efficiency and optimization performance. The entire optimization process is divided into four essential steps, and the key optimization technologies in each step are discussed, including parametric modeling, computational fluid dynamics (CFD) simulation, surrogate model and optimization algorithm. By introducing the practical applications of these technologies, we summarize their advantages and disadvantages and suggest four potential research directions for the future.