双重标准下的车辆安全性优化设计研究

Vehicle safety optimization design under double standards

将从新车碰撞测试中提取的峰值减速度和行人小腿减速度作为定义双重标准下最优化问题时的约束变量。令缓冲梁、前纵梁、缓冲包覆的规格和泡沫强度作为设计变量,使用经过验证的车辆截断有限元模型,对车辆前端结构质量进行最优化设计。使用最优拉丁超立方试验设计和径向基函数法,生成约束函数的代理模型,进一步构造目标函数并通过遗传算法得出最优解。结果表明,最优设计尺寸使得车辆前端结构质量明显减少,并同时满足相关法规对车辆前端正面碰撞刚性障碍物耐撞性和对行人碰撞安全的双重要求。

The peak deceleration extracted from new car crash test and the deceleration of pedestrian shanks were regarded as constraint variables when defining optimization problem under double standards. Let the specifications and the foam strength of buffer beam ,front longitudinal beam and buffer coating as design variables, the quality of vehicle front structure was carried on optimization design by the validated vehicle truncation＇ s finite element model. The optimal Latin hypercube experimental design and radial basis function method were used to create the approximate model of constraint function,the objective function was con- structed further and the optimal solution was obtained through genetic algorithm. Results showed that the design size obtained by the optimal solution made the quality of vehicle front structure significantly reduced, and met the double requirements of vehicle front head-on collision crashworthiness of rigid obstacles and pedestrians collision safety stipulated by the relevant regulations at the same time.