汽车工程 ›› 2018, Vol. 40 ›› Issue (5): 508-514.doi: 10.19562/j.chinasae.qcgc.2018.05.002

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梯度强度汽车薄壁结构抗撞性优化

  

  • 出版日期:2018-05-25 发布日期:2018-05-25

Crashworthiness Optimization of Automotive Thin-walled Structure with Functionally Graded Strength#br#

  • Online:2018-05-25 Published:2018-05-25

摘要: 本文中采用有限元法,对一种梯度强度汽车薄壁结构的抗撞性能进行仿真研究。首先以该结构在碰撞过程中的峰值碰撞力F和比吸能E为评价指标,分析了板厚t、碰撞端强度s和梯度强度分布指数m对其抗撞性能的影响。通过响应面法建立性能参数F和E与设计变量m,t和s的近似关系,并对该结构进行多目标优化,得到F和E的最优设计Pareto前沿。然后考虑到工艺因素的不稳定性,选取该前沿上的特征点对最优设计的鲁棒性进行分析,发现当梯度强度指数m<05时(此时顶端强度和厚度应选最小值)鲁棒性最优。最后以原始材料(低强度均质性能)、高强度材料(高强度均质性能)和梯度强度材料进行某款车型前纵梁的正撞模拟评价。结果表明:梯度强度薄壁结构在乘员舱减速度、前围侵入量和比吸能等方面皆比传统设计有着更优的抗撞性能,且有效减轻了车身质量,综合性能最优。

关键词: 汽车抗撞性, 梯度强度, 多目标优化, 鲁棒性设计

Abstract: The crashworthiness of an automotive thinwall structure with functionally graded strength (FGS) is simulated by finite element method in this paper. Firstly taking the peak crash force F and the specific energy absorption E of the structure during crash as evaluation indicators to analyze the effects of thickness t, the strength s of impacting end and gradient index m on the crashworthiness of the structure. An approximate relationship between performance parameters (F andE)and design variables (m, t and s) is established by response surface method, and a multiobjective optimization is conducted on the structure to obtain the optimal Pareto frontier. Then with consideration of the instability of technological factors, three characteristic points on Pareto frontier are chosen to analyze the robustness of optimal designs and it is found that the robustness is the best when m<05 (in this case s and t should take minimum value). Finally a frontal crash simulation on the front longitudinal beam of a pickup truck is performed with three materials, i.e. original material with lowstrength homogeneous property, highstrength homogeneous material and FGS material. The results show that FGS thinwall structure has better performance than the traditional design with original material in respects of cab deceleration, front bulkhead intrusion and specific energy absorption with less mass, so has the best overall performance.

Key words:  automotive crashworthiness, graded strength, multi objective optimization, robustness design