| At present ,the train's high-speed and security issues challenging the whole world are becoming increasingly important . It has become a key processure of the safety analysis to improve the crashworthiness of the train .The crashworthiness researches of train structure mainly focus on the collision energy absorption characteristics of both ends of the train.So , not only a reasonable energy absorpting structure is to be determinated under the premise of reduction of train body weight as more as possible,but also the body structure is to be optimized as the crew space guaranteed. All above , in this article ,the genetic algorithms bridges the collision simulation of the body structure deformation and the optimization of energy absorption. And interpretation as following:First of all, by compiling the output files of HYPERMESH models, the APDL language has been achieved which can be read by ANSYS. In the language, variables and constraints in statements can be added, the output can be defined. It also demonstrates how the genetic algorithm become available by ANYSY in details through the compiled model output files. The feasibility of genetic algorithm is testified by comparing the genetic algorithm optimization and ANYSY outcomes in the example of the complex truss structure. The utility of genetic algorithm as a bridge generally improves massive multi-variable optimization and reduces the size of collision energy absorption optimization.Second, track vehicle collision theory and nonlinear finite element simulation of the key issues are summarized, moving subway cars and car collision simulation models are established,the collision simulation on 200km high-speed vehicles and the Shanghai Metro Line No.6,8 single, even the trailer(including the slow hook device)are accomplished .Genetic algorithm is to be applied on the large-scale collision energy absorption optimization on the request of lightweighting of the high-speed train body .Finally, according to the truss structure optimization of variable-size analysis, lead to large-scale genetic algorithm optimization example. Research the carbon steel car body in order to study for the optimized design, by analyzing the condition of three of the static strength of the results, extracted from the different displacement and stress as a constraint to optimize the value-bound.. Respectively, compared with the three algebra and the three conditions to optimize the value of adaptability, taking the best adaptation of a set of values as to optimize the best results of the final optimized by comparing pre and post absorption conducted can be checked. |
