Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-objective optimization of high-speed train suspension parameters for improving hunting stability
Excellent hunting stability is required for the operation of high-speed trains. The suspension parameter design needs to avoid primary and secondary hunting instability for the low and high wheel–rail contact conicity, respectively, as well as to enhance the robustness of hunting stability in face of the variations in wheel–rail contact parameters. In this paper, the indices of low equivalent conicity stability, high conicity stability, and equivalent conicity robustness are defined and chosen as the optimization objectives for the optimal design of key suspension parameters. The multi-objective optimization method is used, and the obtained Pareto set can guide the matching laws of suspension parameters. Four groups of typical parameter sets are selected, and their stability characteristics, such as speed robustness and equivalent conicity robustness, are analysed in detail, followed by the selection of equivalent conicity and motor flexible suspension parameters. Two parameter design modes for the hunting stability can be reflected.
Multi-objective optimization of high-speed train suspension parameters for improving hunting stability
Excellent hunting stability is required for the operation of high-speed trains. The suspension parameter design needs to avoid primary and secondary hunting instability for the low and high wheel–rail contact conicity, respectively, as well as to enhance the robustness of hunting stability in face of the variations in wheel–rail contact parameters. In this paper, the indices of low equivalent conicity stability, high conicity stability, and equivalent conicity robustness are defined and chosen as the optimization objectives for the optimal design of key suspension parameters. The multi-objective optimization method is used, and the obtained Pareto set can guide the matching laws of suspension parameters. Four groups of typical parameter sets are selected, and their stability characteristics, such as speed robustness and equivalent conicity robustness, are analysed in detail, followed by the selection of equivalent conicity and motor flexible suspension parameters. Two parameter design modes for the hunting stability can be reflected.
Multi-objective optimization of high-speed train suspension parameters for improving hunting stability
Chen, Xiangwang (Autor:in) / Yao, Yuan (Autor:in) / Shen, Longjiang (Autor:in) / Zhang, Xiaoxia (Autor:in)
International Journal of Rail Transportation ; 10 ; 159-176
04.03.2022
18 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Suspension parameters optimum of high-speed train bogie for hunting stability robustness
| Taylor & Francis Verlag | 2020
Multi-objective optimization of a high-speed train head based on the FFD method
| Online Contents | 2016
GSOANR-based multi-objective train trajectory optimization
| Taylor & Francis Verlag | 2024
Multi-Objective Optimization of Vehicle Suspension Parameters Considering Various Road Classes
| DOAJ | 2014