基于数据融合与单纯形遗传算法的管道损伤识别
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摘要
为了提高管道损伤识别的准确率,提出了基于数据融合和单纯形遗传算法的两段式的管道损伤位置和程度的识别方法。首先将管道的柔度差曲率矩阵与广义残余力向量差两种信息源通过D-S证据理论融合算法初步判定管道损伤位置,然后通过单纯形遗传算法精确识别管道损伤位置与程度。考虑到基本遗传算法局部搜索不强、易发生早熟的缺点,提出了与局部搜索算法(单纯形搜索算法)相结合的改进策略。数值计算结果表明,考虑2%随机噪声影响情况,采用数据融合进行初步定位的方法大大缩小了可疑损伤区域范围,通过单纯形遗传算法能够进一步精确识别管道损伤位置及程度。本文提出的方法提高了管道损伤位置与程度识别的效率与准确率。
In order to increase the precision of structural identification,a two-stage method based on data fusion and simplex genetic algorithm is proposed.Firstly,flexibility curvature matrix and generalized residual force vector difference are considered as two kinds of information sources,and the D-S evidence theory is utilized to integrate the two information sources and preliminarily detect structural damage locations.Then,simplex genetic algorithm is used to identify structural damage extents.Considering the premature convergence of basic GA,a method combined genetic algorithm with simplex algorithm is utilized as the improved strategy.It is shown that the two-stage method can precisely identify structural damage locations and extent under the condition of 2%random noise.The proposed method improves the efficiency and accuracy of pipeline damage identification.
引文
[1]董聪,范立础,陈肇元,等.结构智能健康诊断的理论与方法[J].中国铁道科学,2002,23(1):11-24.
    [2]李永梅,周锡元,高向宇.基于柔度差曲率矩阵的结构损伤识别方法[J].工程力学,2009,26(2):188-202.
    [3]何伟,何容,李亚伟,等.结构损伤识别中的广义残余力向量差法研究[J].工程抗震与加固改造,2013,35(3):48-53.
    [4]姜绍飞,胡春明.基于模态指标与数据融合的钢管混凝土拱桥损伤识别[J].振动与冲击,2009,28(12):91-95.
    [5]Liu Tao,Li Aiqun.Study of the structural damage identification method based on multi-mode information fusion[J].Structural Engineering and Mechanics,2009,31(3):333-347.
    [6]Jeong Mnjoong,Choi Jong-Hun,Koh Bong-Hwan.Performance evaluation of modified genetic and swarm-based optimization algorithms in damage identification problem[J].Structural Control and Health Monitoring,2013,20(6):878-889.
    [7]Guo H Y,Li Z L.A two-stage method to identify structural damage sites and extents by using evidence theory and microsearch genetic algorithm[J].Mechanical Systems and Signal Processing,2009,23(3):769-782.
    [8]Borges Carlos C H Barbosa,Helio J C Barbosa,Afonso C C Lennonge.Structural damage identification method based on genetic algorithm and vibrational data[J].International Journal for Numerical Methods in Engineering,2007,69(13):2663-2686.
    [9]黄民水,吴功,朱宏平,等.噪声影响下基于改进损伤识别因子和遗传算法的结构损伤识别[J].振动与冲击,2012,31(21):168-174.
    [10]韩炜,廖振鹏.一种全局优化算法:遗传算法-单纯形法[J].地震工程与工程振动,2001,21(2):6-12.

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