Structural Optimization for Head Cars of High-Speed Trains in Light of Aerodynamics

摘要

With the increase of train speed, aerodynamic drag as a part of running resistance becomes increasingly important for train. In order to reduce the aerodynamic drag, configuration optimization is required for train heads, especially for high-speed trains. A simulation based configuration optimization for train heads is developed in this paper on the basis of computational fluid dynamics theory. Both manual and Sculptor-software-integration curve-driven arbitrary deformation are used and compared. The optimization results state that the optimal head configuration can be obtained by combining three software; ISIGHT, Sculptor, and Fluent. Therefore, this study provides a method for optimization and design of train heads.