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

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