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工程设计学报
工程设计学报  2019, Vol. 26 Issue (1): 20-28    DOI: 10.3785/j.issn.1006-754X.2019.01.004
保质设计     
基于满意度函数的新型逃生管道多目标稳健性设计
黄羽鹏, 张家波, 雷正保
长沙理工大学 汽车与机械工程学院, 湖南 长沙 410114
Multi-objective robust design of new escape pipeline based on satisfaction function
HUANG Yu-peng, ZHANG Jia-bo, LEI Zheng-bao
College of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha 410114, China
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摘要：

新型逃生管道参数具有不确定性且单目标优化存在局限性，为了实现新型逃生管道多目标稳健性设计，结合田口稳健性设计方法与满意度函数，提出了一种基于满意度函数的多目标稳健性设计方法。该方法将产品质量特性的信噪比转换为具有田口稳健性设计的望大特性的满意度，然后通过加权几何均值实现结构的多目标稳健性设计。通过使用Hypermesh和LS-DYNA建立新型逃生管道的有限元模型，并对该有限元模型进行验证，然后运用所提出的方法对新型逃生管道进行多目标稳健性设计。结果表明，稳健性设计后新型逃生管道的信噪比提升了5.3%，说明管道抵抗噪声因子的干扰能力增强，结构更稳健；新型逃生管道质量降低了9.6%，实现了管道轻量化的目的。研究结果对提高新型逃生管道的稳健性具有一定的理论和工程意义。
关键词： 逃生管道;  多目标;  田口稳健性设计;  满意度函数;  信噪比    
Abstract:

There are some uncertainties in the parameters of the new escape pipeline and the single-objective optimization has its limitations. To realize the multi-objective robust design of the new escape pipeline, a multi-objective robust design method based on satisfaction function was proposed combining with Taguchi robust design approach. This method converted the signal-to-noise ratio of the product quality characteristics to the degree of satisfaction which had the larger-better characteristics of Taguchi robust design, and the multi-objective robust design of the structure was realized by weighted geometric mean. The finite element model of the new escape pipeline was established and verified by using Hypermesh and LS-DYNA, and then the proposed method was applied to the multi-objective robust design of the new escape pipe. The results showed that the signal-to-noise ratio of the new escape pipe after the robust design was increased by 5.3%, the ability of pipeline to resist noise factor interference was enhanced, and the structure was more robust. The weight of the new escape pipeline was reduced by 9.6%, and the purpose of pipeline lightweight was achieved. The research results have certain theoretical and engineering significance for improving the robustness of the new escape pipeline.
Key words: escape pipeline    multi-objective    Taguchi robust design    satisfaction function    signal-to-noise ratio
收稿日期: 2018-06-15 出版日期: 2019-02-28
CLC:  TG156  
基金资助:

国家自然科学基金资助项目（51675059）
通讯作者: 雷正保(1964-),男,湖南邵阳人,教授,博士生导师,博士,从事汽车被动安全技术研究,E-mail:doclei@163.com     E-mail: doclei@163.com
作者简介: 黄羽鹏(1993-),男,广西玉林人,硕士生,从事汽车被动安全技术研究,E-mail:1059578069@qq.com,https://orcid.org/0000-0003-2130-1630
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引用本文:

黄羽鹏, 张家波, 雷正保. 基于满意度函数的新型逃生管道多目标稳健性设计[J]. 工程设计学报, 2019, 26(1): 20-28.

HUANG Yu-peng, ZHANG Jia-bo, LEI Zheng-bao. Multi-objective robust design of new escape pipeline based on satisfaction function. Chinese Journal of Engineering Design, 2019, 26(1): 20-28.

链接本文:

https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2019.01.004    或    https://www.zjujournals.com/gcsjxb/CN/Y2019/V26/I1/20

[1] 杨飚,庄富盛.新型隧道逃生管道设计模拟及现场试验研究[J].公路交通技术,2013(2):111-114. YANG Biao, ZHUANG Fu-sheng. Simulation and on-site experimental research of new escape pipeline design in tunnels[J]. Technology of Highway and Transport, 2013(2):111-114.
[2] 李祝龙,李鹏飞,梁养辉,等.波纹钢管用作隧道逃生管道时的模拟分析[J].公路交通科技,2017,34(8):105-113. LI Zhu-long, LI Peng-fei, LIANG Yang-hui, et al. Simulation analysis of corrugated steel pipe used as tunnel escape pipe[J]. Journal of Highway and Transportation Research and Development, 2017, 34(8):105-113.
[3] HUANG M L, HUNG Y H, YANG Z S. Validation of a method using Taguchi, response surface, neural network, and genetic algorithm[J]. Measurement, 2016, 94:284-294.
[4] SUN B Y, XIAO J B, LI Z B, et al. An analysis of soil detachment capacity under freeze-thaw conditions using the Taguchi method[J]. Catena, 2018, 162:100-107.
[5] SHETTY S, NILSSON L. Multiobjective reliability-based and robust design optimisation for crashworthiness of a vehicle side impact[J]. International Journal of Vehicle Design, 2015, 67(4):347-367.
[6] 陈永亮,刘双,韩瑶,等.造船液压机压头锁紧碟簧疲劳寿命稳健优化设计[J].工程设计学报,2012,19(3):161-165. CHEN Yong-liang, LIU Shuang, HAN Yao, et al. Fatigue life robust design of clamping disc springs for a shipbuilding hydraulic press head[J]. Chinese Journal of Engineering Design, 2012, 19(3):161-165.
[7] 苗怡然,高良田,刘峰,等.基于参数化的水下航行器外形稳健性优化[J].哈尔滨工程大学学报,2018,39(4):622-628. MIAO Yi-ran, GAO Liang-tian, LIU Feng, et al. Robust optimization design of underwater vehicle shape based on parameterization[J]. Journal of Harbin Engineering University, 2018, 39(4):622-628.
[8] 胡俊峰,杨展宏,徐贵阳.基于响应面法的微操作平台可靠性稳健设计[J].振动与冲击,2017,36(15):245-252. HU Jun-feng, YANG Zhan-hong, XU Gui-yang. Reliability-based robust design of a micro-manipulation stage with response surface method[J]. Journal of Vibration and Shock, 2017, 36(15):245-252.
[9] 朱茂桃,朱彩帆,郭佳欢,等.基于6σ稳健性的轧制差厚板车门优化设计[J].中国机械工程,2017,28(8):996-1001. ZHU Mao-tao, ZHU Cai-fan, GUO Jia-huan, et al. Optimization design of TRB car doors based on 6σ robustness[J]. China Mechanical Engineering, 2017, 28(8):996-1001.
[10] ABHIRAM D R, GANGULI R, HARURSAMPATH D, et al. Robust design of small unmanned helicopter for hover performance using Taguchi method[J]. Journal of Aircraft, 2018, 55(4):1746-1753.
[11] LEE S, KIM K, Cho S, et al. Optimal design of interior permanent magnet synchronous motor considering the manufacturing tolerances using Taguchi robust design[J]. IET Electric Power Applications, 2014, 8(1):23-28.
[12] CHATSIRIRUNGRUANG P. Application of genetic algorithm and Taguchi method in dynamic robust parameter design for unknown problems[J]. International Journal of Advanced Manufacturing Technology, 2010, 47(9/12):993-1002.
[13] 胡浩军,狄先均,李家泰,等.隧道逃生管道设计中的圆管冲击计算[J].现代隧道技术,2008,45(S1):272-274. HU Hao-jun, DI Xian-jun, LI Jia-tai, et al. Calculation of pipe impact in tunnel escape pipeline design[J]. Modern Tunnelling Technology, 2008, 45(S1):272-274.
[14] DERRINGER G, SUICH R. Simultaneous optimization of several response variables[J]. Journal of Quality Technology, 1980, 12(4):214-219.
[15] YIN H, XIAO Y, WEN G, et al. Multi-objective robust optimization of foam-filled bionic thin-walled structures[J]. Thin-Walled Structures, 2016, 109:332-343.
[16] PENG Y, DENG W, XU P, et al. Study on the collision performance of a composite energy-absorbing structure for subway vehicles[J]. Thin-Walled Structures, 2015, 94:663-672.
[17] 张瑜,丁庆荣,狄先均,等.隧道逃生管道的冲击实验与仿真模拟[J].华中科技大学学报(城市科学版),2010,27(2):87-89,94. ZHANG Yu, DING Qing-rong, DI Xian-jun, et al. Impact experiment and computer simulation of tube for design of escape passage in tunnel construction[J]. Journal of Huazhong University of Science and Technology (Urban Science Edition), 2010, 27(2):87-89, 94.
[18] VINING G G, MYERS R H. Combining Taguchi and response surface philosophies:a dual response approach[J]. Journal of Quality Technology, 1990, 22(1):38-45.
[19] 阿尔文·R·蒂利.人体工程学图解:设计中的人体因素[M].宋涛,译.北京:中国建筑工业出版社,1998:32-334. ALVINR Tilley. The measure of man & woman:human factors in design[M]. Translated by SONG Tao. Beijing:China Architecture & Building Press, 1998:32-334.
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