吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1903-1908.doi: 10.13229/j.cnki.jdxbgxb201706031

• 论文 • 上一篇    下一篇

机械零部件动态可靠性稳健优化设计的群智能算法

于繁华1, 刘仁云2, 张义民3, 张晓丽1, 3, 孙秋成1   

  1. 1.长春师范大学 计算机科学与技术学院,长春 130032;
    2.长春师范大学 数学学院,长春 130032;
    3.东北大学 机械工程与自动化学院,沈阳 110004
  • 收稿日期:2016-09-12 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 刘仁云(1968-),女,教授,博士.研究方向:计算智能,结构可靠性设计与优化.E-mail:liurenyun2005@163.com
  • 作者简介:于繁华(1970-),男,教授,博士.研究方向:计算智能及应用.E-mail:yufanhua@163.com
  • 基金资助:
    吉林省产业创新专项资金项目(2017C031-2); 吉林省教育厅项目(吉教科合字[2014]第17号、吉教科合[2013]第243号)

Swarm intelligence algorithm of dynamic reliability-based robust optimization design of mechanic components

YU Fan-hua1, LIU Ren-yun2, ZHANG Yi-min3, ZHANG Xiao-li1, 3, SUN Qiu-cheng1   

  1. 1.College of Computer Science & Technology, Changchun Normal University, Changchun 130032, China;
    2.College of Mathematics, Changchun Normal University, Changchun 130032, China;
    3.College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
  • Received:2016-09-12 Online:2017-11-20 Published:2017-11-20

RICH HTML

0   

PDF (PC)

117

摘要： 在运用随机过程和顺序统计原理建立载荷和强度随时间变化的动态可靠性模型基础上,利用稳健设计理论,建立了机械零部件动态可靠性稳健优化设计的多目标优化模型。针对该多目标模型所具有的动态高维的特点,提出了基于灰色关联分析的多粒子群协同动态多目标优化算法。以钢板弹簧结构为例,给出了动态环境下随时间变化的最优解集,为机械零部件的动态可靠性稳健优化设计提供了理论依据。

关键词: 计算机应用, 极端学习机, 动态粒子群算法, 可靠性优化设计, 多目标优化

Abstract: A dynamic reliability-based model, whose load and strength vary with time, is established by using random process and order statistics theory. Then, applying robust optimization design theory, a multi-objective optimization model is proposed for the dynamic reliability-based robust design of mechanic components. Considering the dynamic high-dimensional characteristics of the proposed model, a multiple particle swarm co-evolutionary algorithm based on grey correlation analysis theory is developed for the multi-objective optimization. The leaf-spring is taken as an example for solving the optimal solution set in dynamic environment. Results demonstrate that the proposed method can provide theoretical foundation for dynamic reliability-based robust design of mechanic components.

Key words: computer application, extreme learning machine, dynamic particle swarm algorithm, reliability optimization design, multi-objective optimization

中图分类号: 

  • TP39
[1] 张义民.机械动态与渐变可靠性理论与技术评述[J].机械工程学报,2013,49(20):101-114.
Zhang Yi-min. Review of theory and technology of mechanical reliability for dynamic and gradual systems[J]. Journal of mechanical Engineering,2013,49(20):101-114.
[2] 王新刚,张义民,王宝艳. 机械零部件的动态可靠性灵敏度分析[J]. 机械工程学报,2010,46(10):188-193.
Wang Xin-gang,Zhang Yi-min,Wang Bao-yan. Dynamic reliability sensitivity analysis of mechanical components[J]. Journal of Mechanical Engineering,2010,46(10):188-193.
[3] 王正,康锐,谢里阳. 以载荷作用次数为寿命指标的失效相关系统可靠性建模[J]. 机械工程学报,2010,46(3):188-197.
Wang Zheng,Kang Rui,Xie Li-yang. Reliability modeling of systems with dependent failure when the life measured by the number of loadings[J]. Journal of Mechanical Engineering, 2010,46(3):188-197.
[4] 刘仁云,侯树范,张义民. 基于多目标优化策略的螺旋弹簧可靠性稳健优化设计[J]. 机械强度,2012,34(2):214-218.
Liu Ren-yun,Hou Shu-fan,Zhang Yi-min. Robust optimization design for reliability for coil spring based on multi-objective decision making methods[J]. Journal of Mechanical,2012,34(2):214-218.
[5] Li J, Chen J B, Fan W L. The equivalent extreme-value event and evaluation of the structural system reliability[J]. Structural Safety,2007,29(2):112-131.
[6] 韩彦彬,白广忱,李晓颖,等.基于支持向量机柔性机构动态可靠性分析[J]. 机械工程学报,2014,50(11):86-92.
Han Yan-bin,Bai Guang-chen,Li Xiao-ying,et al. Dynamic reliability analysis flexible mechanism based on support vector machine[J]. Journal of Mechanical Engineering,2014,50(11):86-92.
[7] 李常有,张义民,王跃武. 线性连续系统的动态与渐变耦合可靠性分析[J]. 机械工程学报,2012,48(2):23-28.
Li Chang-you,Zhang Yi-min,Wang Yue-wu. Dynamic and gradual coupling reliability analysis of linear and continuous system[J]. Journal of Mechanical Engineering,2012,48(2):23-28.
[8] Li M, Azarm S, Aute V. A multi-objective genetic algorithm for robust design optimization[C]//ACM, New York,2005:771-778.
[9] 于繁华,刘仁云. 车辆钢板弹簧的多目标可靠性稳健优化设计[J]. 吉林大学学报:工学版,2011,41(增刊2):226-230.
Yu Fan-hua, Liu Ren-yun. Multi-objective reliability based on robust optimization design for vehicle leaf spring[J]. Journal of Jilin University (Engineering and Technology Edition),2011,41(Sup.2):226-230.
[10] Fang Jian-guang,Gao Yun-kai,Sun Guang-yong, et al. Multi objective reliability-based ptimization for design of a vehicle door[J]. Finite Elements in Analysis and Design,2013,7(3):13-21.
[11] 刘仁云,张义民,于繁华. 基于灰色粒子群算法的可靠性稳健优化设计[J].吉林大学学报:工学版,2006,36(6):893-897.
Liu Ren-yun, Zhang Yi-min, Yu Fan-hua. Robust optimization design for reliability based on grey particle swarm algorithm[J].Journal of Jilin University(Engineering and Technology Edition),2006,36(6):893-897.
[12] 邓聚龙.灰色系统基本方法[M]. 武汉:华中理工大学出版社,1996:70-75.
[13] 胡静,曾建潮,谭瑛. 动态环境下基于种群多样性的微粒群算法[J]. 系统仿真学报,2007,19(21):4932-4935.
Hu Jing,Zeng Jian-chao,Tan Ying. Particle swarm optimizer based on diversity of particle in dynamic environments[J]. Journal of System Simulation,2007,19(21):4932-4935.
[1] 刘富,宗宇轩,康冰,张益萌,林彩霞,赵宏伟. 基于优化纹理特征的手背静脉识别系统[J]. 吉林大学学报(工学版), 2018, 48(6): 1844-1850.
[2] 王利民,刘洋,孙铭会,李美慧. 基于Markov blanket的无约束型K阶贝叶斯集成分类模型[J]. 吉林大学学报(工学版), 2018, 48(6): 1851-1858.
[3] 金顺福,王宝帅,郝闪闪,贾晓光,霍占强. 基于备用虚拟机同步休眠的云数据中心节能策略及性能[J]. 吉林大学学报(工学版), 2018, 48(6): 1859-1866.
[4] 赵东,孙明玉,朱金龙,于繁华,刘光洁,陈慧灵. 结合粒子群和单纯形的改进飞蛾优化算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1867-1872.
[5] 刘恩泽,吴文福. 基于机器视觉的农作物表面多特征决策融合病变判断算法[J]. 吉林大学学报(工学版), 2018, 48(6): 1873-1878.
[6] 欧阳丹彤, 范琪. 子句级别语境感知的开放信息抽取方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1563-1570.
[7] 刘富, 兰旭腾, 侯涛, 康冰, 刘云, 林彩霞. 基于优化k-mer频率的宏基因组聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1593-1599.
[8] 桂春, 黄旺星. 基于改进的标签传播算法的网络聚类方法[J]. 吉林大学学报(工学版), 2018, 48(5): 1600-1605.
[9] 刘元宁, 刘帅, 朱晓冬, 陈一浩, 郑少阁, 沈椿壮. 基于高斯拉普拉斯算子与自适应优化伽柏滤波的虹膜识别[J]. 吉林大学学报(工学版), 2018, 48(5): 1606-1613.
[10] 车翔玖, 王利, 郭晓新. 基于多尺度特征融合的边界检测算法[J]. 吉林大学学报(工学版), 2018, 48(5): 1621-1628.
[11] 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.
[12] 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.
[13] 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.
[14] 赵宏伟, 刘宇琦, 董立岩, 王玉, 刘陪. 智能交通混合动态路径优化算法[J]. 吉林大学学报(工学版), 2018, 48(4): 1214-1223.
[15] 黄辉, 冯西安, 魏燕, 许驰, 陈慧灵. 基于增强核极限学习机的专业选择智能系统[J]. 吉林大学学报(工学版), 2018, 48(4): 1224-1230.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 《吉林大学学报(工学版)》编辑部
地址：长春市人民大街5988号　电话：+86-431-85095297　传真：+86-431-85094074　E-mail: xbgxb@jlu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发