荷载模糊模式识别中的应变传感器优化布置

英文篇名：Optimum Strain Gauges Distribution for Loading Identification Following Fuzzy Pattern Recognition and Hybrid Genetic
中文刊名：武汉理工大学学报(交通科学与工程版)
英文刊名：Journal of Wuhan University of Technology(Transportation Science & Engineering)
作者：李功标 ; 瞿伟廉
英文作者：Li Gongbiao Qu Weilian(Central-south Architectural Design Institute ; Wuhan 430070)1) (Hubei Key Laboratory of Roadway Bridge & Structural Engineering ; Wuhan University of Technology ; Wuhan 430070)2)
中文关键词：荷载识别 ; 模糊模式识别 ; 遗传算法 ; 传感器优化布置
英文关键词：loading identification ; fuzzy pattern recognition ; genetic algorithm ; optimization of sensor distribution
出版日期：2009-04-15
机构：中南建筑设计院;武汉理工大学道路桥梁与结构工程湖北省重点试验室;
年：2009
期：02
出版单位：武汉理工大学学报(交通科学与工程版)

摘要

根据遗传算法的多目标优化方法和结构荷载模糊模式识别的原理,提出了一种应变传感器测点的优化方法.根据各点应变的变异系数和线性相关性,确定了测点的候选集;采用混合遗传算法,对测点的选择进一步优化;以钢牛腿结构为例,进行了模型数值仿真分析.结果表明,采用优化后的测点,钢牛腿结构荷载的大小和作用位置的识别精度得到了很大的提高.
By using the multi-object optimization method based on genetic algorithm and loading identification based on fuzzy pattern recognition,an optimum strain gauges distribution method is presented.According to the variance coefficient and linearity correlation coefficient of the strains,candidate set of key nodes is established.And then the optimization of the key nodes is accomplished by using a hybrid genetic algorithm.At last,taking the loading pattern recognition of a steel bracket as example,the structure model is analyzed.Results show that the accuracy of the loading identification has been improved significantly by using the strains of optimized key nodes.

引文

[1]瞿伟廉,陈超,汪菁.深圳市民中心屋顶网架结构支撑钢牛腿瞬时应力场的识别[J].地震工程与工程振动,2002,22(4):41-46.
    [2]瞿伟廉,汪菁,郑瑾,等.箱型钢结构应力场的模糊模式识别[J].地震工程与工程振动,2006,26(5):177-182.
    [3]Chan T H T,Yu L,LawS S,et al.Moving force i-dentification studies,I:theory[J].J.Sound Vibra-tion,2001,247(1):59-76.
    [4]Zhu X Q,Law S S.Ti me domain identification ofmoving loads on bridge deck[J].J.VibrationAcoustics,Trans.ASME,2003,125(2):187-198.
    [5]张开银,陈建辉,刘利军.基于模态分析技术的结构动应力研究[J].武汉理工大学学报:交通科学与工程版,2007,31(6):991-994.
    [6]谢季坚,刘承平.模糊数学方法及其应用[M].武汉:华中理工大学出版社,2000.
    [7]周明.遗传算法及应用[M].北京:国防工业出版社,1992.
    [8]Goldberg D E.Genetic algorithms in search,opti mi-zation and machine learning[M].New York:Addi-son-Wesley,1989.