关键词: 非支配排序遗传算法, 高速动车组, 齿轮箱, 参数匹配, 多目标优化, 动力学

Abstract: The gearbox is a critical subsystem in high-speed trains, and the rational matching of its parameters directly affects the operational stability of the system. This study establishes a refined vehicle-track-transmission system dynamic model based on bearing dynamics, gear transmission dynamics, and vehicle-track coupling dynamics. Numerical simulations are conducted to investigate the coupled effects of the bearing clearances of the pinion and gear shafts and the gearbox suspension stiffness on the system vibrations. On this basis, an optimized matching scheme for the two types of bearing clearances and the suspension stiffness is proposed using the NSGA-II algorithm. Results indicate that the gear-side bearing clearance and the suspension stiffness are the dominant factors affecting gearbox vibration acceleration, whereas the pinion-side bearing clearance has a relatively minor effect. The optimized parameter combination effectively reduces system vibrations and bearing loads, with prediction errors controlled within ±5%, demonstrating the reliability and engineering applicability of the proposed method. These findings provide theoretical guidance and reference for the design and operation of high-speed train gearbox systems.

Key words: NSGA-II, high-speed train, gearbox, parameter matching, multi-objective optimization, dynamics