为了减少爆炸冲击环境下某防护型车辆内的乘员损伤，对车辆底部结构与座椅系统进行多参数优化。优化过程中，利用多物质单元与流-固耦合算法仿真乘员损伤，并通过试验标定。以乘员小腿受力、颈部力矩为目标函数，以车辆底部结构的厚度、材料、座椅安装位置为设计参数，建立了底部结构及座椅系统的优化数学模型。引入多元统计学的降维技术，形成了基于因子分析的多参数优化方法，在满足精度的条件下，合理缩减参数样本空间，节省了计算成本。通过该算法得到了优化模型的帕累托解集，最终获得了减小乘员损伤的底部结构与座椅系统设计方案。
Abstract
In order to reduce vehicle occupant injury under blast wave, a multi-parameter optimization is proposed for the vehicle hull underbody structure and occupant restraint system. The simulation of the occupant response is based on Arbitrary Lagrange-Eulerian and Fluid-solid Interaction methods, which is calibrated by explosion test. The optimization mathematical model of occupant's leg force and neck bending moment has been established, and the thickness, material and location of vehicle underbody and occupant restraint system are set as design variables. In this paper, a dimension reduction technique, namely, Factor Analysis based Multi-parameter Optimization, is exploited to cut down the sample space of optimization mathematical model precisely and reasonable. The Pareto set of optimization model is calculated by the proposed methodology, which could get the design scheme of vehicle underbody configuration and occupant restraint system for minimizing occupant injury.
关键词
车辆底部构型 /
抗爆炸冲击 /
多参数优化 /
因子分析 /
乘员损伤
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