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Research on the Influence of Multiple Parameters on the Responses of a B-type Subway Train

作     者:Yanwen Liu Bing Yang Shoune Xiao Tao Zhu Guangwu Yang Ruixian Xiu Yanwen Liu;Bing Yang;Shoune Xiao;Tao Zhu;Guangwu Yang;Ruixian Xiu

作者机构:State Key Laboratory of Traction PowerSouthwest Jiaotong University Basic R&D DepartmentNational Railway Passenger Car Engineering Research CenterChangchun Railway Vehicles Co.Ltd College of EngineeringChangchun Normal University 

出 版 物:《Chinese Journal of Mechanical Engineering》 (中国机械工程学报)

年 卷 期:2022年第35卷第4期

页      面:329-346页

核心收录:

学科分类:08[工学] 080204[工学-车辆工程] 0837[工学-安全科学与工程] 0802[工学-机械工程] 

基  金:Supported by the National Natural Science Foundation of China (Grant No. 52175123) Sichuan Outstanding Youth Fund (Grant No. 2022JDJQ0025) 

主  题:Train collision response Multi-body dynamics model Experiment design Surrogate model Multi-objective optimization Entropy method Multi-objective decision-making 

摘      要:To obtain improved comprehensive crashworthiness criteria for a B-type subway train, the influence laws of the vehicle design collision weight M and empty stroke D on the train’s collision responses were investigated, and multiobjective optimization and decision-making were performed to minimize TS(total compression displacement along the moving train) and TAMA(the overall mean acceleration along the moving train). Firstly, a one-dimensional train collision dynamics model was established and verified by comparing with the results of the finite element model. Secondly, based on the dynamics model, the influence laws of M and D on the collision responses, such as the energy-absorbing devices’ displacements and absorbed energy, vehicles’ velocity and acceleration, TS, TAMA and the coupling correlation effect were investigated. Then, surrogate models for TS and TAMA were developed using the optimal Latin hypercube method(OLHD) and response surface method(RSM), and multi-objective optimization was conducted using the particle swarm optimization algorithm method(MPOSO). Finally, the entropy method was used to obtain the weight coefficients for TS and TAMA, and multi-objective decision-making was performed. The results indicate that D and M significantly affect the compression displacements and energy absorption of the first three collision interfaces, but have limited impact on the last three collision interfaces. The velocity versus time curves of vehicle M1 and M2 are shifted and parallel with different D. However, the velocity versus time curves of all the vehicles are shifted but gradually divergent with different M. The maximum collision instantaneous accelerations of the vehicles are directly determined by M, but are only slightly affected by D. Under the coupling effect, all concerned collision responses are strongly correlated with M; however, the responses are weakly correlated with D except for the compression displacement at the M2-M3 collision interface and the maximum collision instantaneous acceleration of vehicle M2. The comprehensive crashworthiness criteria of the B-type subway train were significantly improved after multi-objective optimization and decision-making. The research provides more theoretical and engineering application references for the subway train crashworthiness design.

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