文献类型：期刊文献

中文题名：基于数据融合与单纯形遗传算法的管道损伤识别

英文题名：Damage Identification of Pipeline Based on Data Fusion and Simplex Genetic Algorithm

作者：张佳程[1];周邵萍[1];苏永升[1];郝占峰[1]

机构：[1]华东理工大学承压系统与安全教育部重点实验室,上海200237

年份：2015

卷号：41

期号：1

起止页码：132

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：CSTPCD;;Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

基金：国家自然科学基金(51175178)

语种：中文

中文关键词：数据融合;管道;模态分析;损伤识别;单纯形遗传算法

外文关键词：data fusion; pipeline; modal analysis; damage identification; simplex genetic algorithm

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.