摘要
为提高某车型前端结构的耐撞性,文章基于正面40%偏置碰撞工况对其进行了优化设计。优化过程中,使用组合近似模型拟合变量与响应之间的关系,实现了对响应的高精度预测;使用非支配排序多目标遗传算法Ⅱ(non-dominated sorting multi-objective genetic algorithmⅡ,NSGA-Ⅱ)获得该优化问题的帕累托(Pareto)前沿,并在确定性优化设计的基础上进一步考虑了汽车工艺参数在工程实际中的不确定性,从而对其进行可靠性优化设计;最后对可靠性优化方案进行了有限元仿真验证。仿真结果表明,通过可靠性优化设计,优化的部件质量减小,整车吸能得到有效提升,同时B柱下方的峰值加速度和防火墙侵入量也满足了可靠度要求。
In order to improve crashworthiness of the front-end structure of a vehicle,the optimization design based on frontal 40%offset deformable barrier crash is carried out.The ensemble of surrogates is used in the optimization process to fit the relationship between variables and response,and the high-accuracy prediction of response is achieved.Meanwhile,the Pareto front of the optimization problem is obtained by non-dominated sorting multi-objective genetic algorithmⅡ(NSGA-Ⅱ).Based on deterministic optimization design,the uncertainty of the vehicle technological parameters in the engineering practice is further considered,and the reliability optimization design is carried out.Finally,the reliability optimization scheme is verified by finite element simulation.The results show that through the reliability optimization design,the mass of the optimized components is reduced,and the energy absorption of the whole vehicle is effectively promoted,the peak acceleration under the B-pillar and the firewall intrusion can also meet the reliability requirements.
作者
姜平
鲍娣
夏梁
谢有浩
JIANG Ping;BAO Di;XIA Liang;XIE Youhao(School of Automobile and Traffic Engineering,Hefei University of Technology,Hefei 230009,China;Anhui Leopaard Automobile Co.,Ltd.,Chuzhou 239064,China)
出处
《合肥工业大学学报（自然科学版）》
CAS
北大核心
2020年第4期443-449,共7页
Journal of Hefei University of Technology：Natural Science
基金
安徽省科技重大专项资助项目(17030901060)。
