Optimization of Train Crash Energy Allocation Scheme with Multi-objective Evolutionary Algorithm.

In order to study the effects of impedance forces of couplings on energy absorption in train crash, a dynamics model of train longitudinal crash was established. Taking maximum average acceleration, maximum instantaneous acceleration, and maximum plastic deformation of car body as optimization objectives, while taking the impedance forces of different couplings as optimization parameters, optimal solution set was obtained by NSGA-II algorithm. And then, a comprehensive evaluation system for the optimization objectives was established, and the optimal solution was selected. Crash acceleration of the train after optimization is less than that of train before optimization, which is due to the smaller interfacial force difference between two ends of the vehicles. [ABSTRACT FROM AUTHOR]