基于MBNWS算法的假人胸部结构多目标优化设计

doi:10.13229/j.cnki.jdxbgxb20170851

摘要/Abstract

摘要： 基于结构材料灵敏度分析,建立了具有粗细网格单元搭配特点且满足试验标定的假人胸部结构有限元简化模型。为了提高该简化模型的“拟人”精度,以同时降低胸部位移峰值及摆锤力峰值与物理假人的误差为目标,建立了基于材料参数的假人胸部多目标优化模型,及其高精度的目标函数代理模型。选取BFGS拟牛顿算法,结合应用加权和技术及Frisch内点罚函数处理,设计了可用于求解不等约束的多目标优化算法,即MBNWS算法。运用该算法获得了假人胸部简化模型多目标优化问题的Pareto最优解集及其前端。结果表明:优化设计后的假人胸部模型可更准确地模拟碰撞中物理假人胸部的力学响应特性。同时,该算法运行速度快、效率高,可推广应用于快速、有效地求解工程中的多目标优化问题。

关键词: 机械设计, 汽车碰撞, 假人胸部建模, 多目标优化, 帕累托最优解, 加权和法, BFGS算法

Abstract: A simplified finite element model of the dummy chest is established based on sensitivity analysis of the structural material properties. The model is characterized with coarse and fine meshes and also satisfies the experimental calibration. In order to improve the anthropomorphic precision of the simplified model, the engineering issue is abstracted as a multiobjective optimization issue, which aims to reduce errors of both chest displacement and pendulum force between the simplified dummy and the physical dummy simultaneously. Considering sternum material parameters as the optimization parameters, high precision surrogate models of objectives are constructed by polynomial response surface method. A MBNWS algorithm is proposed, which is based on BFGS method in conjunction with weighted sum technique and Frisch method. The Pareto optimal solution and its front of the optimization problem for dummy chest are achieved by the MBNWS algorithm. The optimized dummy chest structure can simulate the mechanical response of the physical dummy chest more accurately during vehicle collision. In addition, the MBNWS algorithm is proved fast and efficient, and it is suitable to solve multiobjective optimization problem in engineering practice.

Key words: mechanical design, vehicle crash, dummy chest modeling, multiobjective optimization, Pareto optimal solution, weighted sum method, BFGS algorithm

中图分类号:

TH122

吉野辰萌, 樊璐璐, 闫磊, 徐涛, 林烨, 郭桂凯. 基于MBNWS算法的假人胸部结构多目标优化设计[J]. 吉林大学学报(工学版), 2018, 48(4): 1133-1139.

YOSHINO Tatsuo, FAN Lu-lu, YAN Lei, XU Tao, LIN Ye, GUO Gui-kai. Multiobjective optimization design for dummy chest structure based on MBNWS algorithm[J]. 吉林大学学报(工学版), 2018, 48(4): 1133-1139.

参考文献

[1] 公安部交通管理局.中华人民共和国道路交通事故统计年报(2012年度)[M]. 北京:人民交通出版社,2013.
[2] Nirula R,Pintar F A.Identification of vehicle components associated with severe thoracic injury in motor vehicle crashes:a CIREN and NASS analysis[J].Accident Analysis and Prevention,2008,40:137-141.
[3] Shin J,Untaroiu C,Lessley D,et al.Thoracic response to shoulder belt loading:investigation of chest stiffness and longitudinal strain pattern of ribs [C]∥SAE Paper,2009-01-0384.
[4] 中国汽车技术研究中心. 中国新车评价规程(C-NCAP)2015版[S/OL].[2017-04-27].http:∥www.c-ncap.org.
[5] 商恩义,周大永,刘卫国,等. 某车偏置碰撞中假人胸部压缩变形量偏大的影响因素[J].汽车安全与节能学报 2016, 7(1):60-65.
Shang En-yi, Zhou Da-yong, Liu Wei-guo, et al.Influencing factors of the dummy chest displacement behave excessively large of a vehicle in the frontal offset impact test[J]. Automotive Safety and Energy, 2016, 7(1):60-65.
[6] Forman J, Lessley D, Shaw C G, et al.Thoracic response of belted PMHS, the Hybrid III, and the THOR-NT mid-sized male surrogates in low speed, frontal crashes[J]. Stapp Car Crash Journal, 2006, 50:191.
[7] Mizuno K J, Nezaki S, Ito D.Comparison of chest injury measures of hybrid III dummy[J]. International Journal of Crashworthiness, 2017, 22(1):38-48.
[8] 郝亮,徐涛,吉野辰萌,等.参数化诱导槽设计的吸能盒结构抗撞性多目标优化[J].吉林大学学报:工学版, 2013,43(1):39-44.
Hao Liang, Xu Tao, Yoshino Tatsuo, et al.Multi-objective optimization for crashworthiness of crash box with parameterized inducing grooves[J]. Journal of Jilin University(Engineering and Technology Edition),2013,43(1):39-44.
[9] Faustman D, Hauptfeld V, Lacy P, et al.A multi-objective surrogate-based optimization of the crashworthiness of a hybrid impact absorber[J]. International Journal of Mechanical Sciences, 2014, 88(13):46-54.
[10] Geoffrion A M.Proper efficiency and the theory of vector maximization[J]. Journal of Mathematical Analysis and Applications, 1968, 22(3):618-630.
[11] Yang G, Xu T, Li X, et al.An efficient hybrid algorithm for multi-objective optimization problems with upper and lower bounds in engineering[J]. Mathematical Problems in Engineering, 2015, 10:1-13.
[12] Povalej Ž.Quasi-Newton's method for multi-objective optimization[J]. Journal of Computational and Applied Mathematics, 2014, 255:765-777.
[13] NHTSA. Test dummy specification, NHTSA CFR part 572[S]. USA, NHTSA,1995.
[14] 任露泉. 试验优化设计与分析[M]. 长春:吉林科学技术出版社,2001:174-188.
[15] 袁亚湘. 非线性优化计算方法[M]. 北京:科学出版社,2007:158-165.

相关文章 15

[1]	毕秋实,王国强,黄婷婷,毛瑞,鲁艳鹏. 基于DEM-FEM耦合的双齿辊破碎机辊齿强度分析[J]. 吉林大学学报(工学版), 2018, 48(6): 1770-1776.
[2]	朱伟,王传伟,顾开荣,沈惠平,许可,汪源. 一种新型张拉整体并联机构刚度及动力学分析[J]. 吉林大学学报(工学版), 2018, 48(6): 1777-1786.
[3]	刘建芳, 王记波, 刘国君, 李新波, 梁实海, 杨志刚. 基于PMMA内嵌三维流道的压电驱动微混合器[J]. 吉林大学学报(工学版), 2018, 48(5): 1500-1507.
[4]	毛宇泽, 王黎钦. 鼠笼支撑一体化结构对薄壁球轴承承载性能的影响[J]. 吉林大学学报(工学版), 2018, 48(5): 1508-1514.
[5]	王涛, 伞晓刚, 高世杰, 王惠先, 王晶, 倪迎雪. 光电跟踪转台垂直轴系动态特性[J]. 吉林大学学报(工学版), 2018, 48(4): 1099-1105.
[6]	刘坤, 刘勇, 闫建超, 吉硕, 孙震源, 徐洪伟. 基于体外传感检测的人体站起动力学分析[J]. 吉林大学学报(工学版), 2018, 48(4): 1140-1146.
[7]	夏利红, 邓兆祥. 电子机械制动执行器的整体最优匹配设计[J]. 吉林大学学报(工学版), 2018, 48(4): 998-1007.
[8]	贺继林, 陈毅龙, 吴钪, 赵喻明, 汪志杰, 陈志伟. 起重机卷扬系统能量流动分析及势能回收系统实验[J]. 吉林大学学报(工学版), 2018, 48(4): 1106-1113.
[9]	谢传流, 汤方平, 孙丹丹, 张文鹏, 夏烨, 段小汇. 立式混流泵装置压力脉动的模型试验分析[J]. 吉林大学学报(工学版), 2018, 48(4): 1114-1123.
[10]	邱小明, 王银雪, 姚汉伟, 房雪晴, 邢飞. 基于灰色关联的DP1180/DP590异质点焊接头工艺参数优化[J]. 吉林大学学报(工学版), 2018, 48(4): 1147-1152.
[11]	孙秀荣, 董世民, 王宏博, 李伟成, 孙亮. 整体抽油杆柱在油管内空间屈曲的多段式仿真模型对比[J]. 吉林大学学报(工学版), 2018, 48(4): 1124-1132.
[12]	刘志峰, 赵代红, 王语莫, 浑连明, 赵永胜, 董湘敏. 重载静压转台承载力与油垫温度场分布的关系[J]. 吉林大学学报(工学版), 2018, 48(3): 773-780.
[13]	曹婧华, 孔繁森, 冉彦中, 宋蕊辰. 基于模糊自适应PID控制的空压机背压控制器设计[J]. 吉林大学学报(工学版), 2018, 48(3): 781-786.
[14]	李锐, 张路阳, 刘琳, 武粤元, 陈世嵬. 基于相似理论的三跨桥梁磁流变隔振[J]. 吉林大学学报(工学版), 2018, 48(3): 787-795.
[15]	王登峰, 张帅, 汪勇, 陈辉. 基于疲劳和13°冲击性能的组装式车轮优化设计[J]. 吉林大学学报(工学版), 2018, 48(1): 44-56.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed