中文摘要：

为解决铁道车辆客室空间尺寸和内部部件接触刚度优化配置问题,实现客室结构多目标多参数优化设计,以座椅-桌子结构和座椅-座椅结构2种模型为例,基于Kriging算法构造了目标参数（乘员头部性能指标CHI15,CHI36和胸部性能指标CT3ms）关于设计变量（小桌高度h、小桌与座椅距离l1、座椅间距l2、桌子接触刚度k1和座椅接触刚度k2）的代理模型,分别得到目标参数随设计参数变化的响应曲面,并采用遗传算法对建立的目标参数代理模型进行整体寻优,得到2种结构模型的最优参数配置。分析结果表明：各代理模型的遗传算法寻优结果与数值计算的模拟结果吻合较好,误差范围为-5.94%-2.23%,说明基于Kriging代理模型和遗传算法的优化结果是可靠的。研究结果可用于指导铁道车辆客室结构的布置。

英文摘要：

In order to solve the optimization problem of compartment space dimensions and contact stiffness of inner parts of railway vehicle,and to achieve the multi-objective and multi-parameter compartment structure optimization design,the two models of seat-table structure and seat-seat structure were taken for example to set up the surrogate models between objective parameters（head injury criterion CHI15,CHI36 and thoracic cumulative-3ms injury criterion CT3ms） and design variables（table height h,distance l1 of table and chair,distance l2 of two chairs,table contact stiffness k1 and chair contact stiffness k2）.Then the response surfaces between target parameters and design parameters were obtained respectively,and the optimal parameters of two structure models were obtained through the overall optimization of surrogate models by genetic algorithm（GA）.The results indicate that the optimization results of surrogate models accord well with the numerical simulation ones,and their difference range is -5.94%-2.23%,which shows that the optimization results obtained by surrogate models and GA are reliable.The results might be helpful to guiding the structure design of railway vehicle compartment.