力学与实践 ›› 2012, Vol. 34 ›› Issue (1): 80-84,51.DOI: 10.6052/1000-0879-20120115

• 应用研究 • 上一篇    下一篇

结构健康监测系统中传感器优化布置组合算法

路玲玲, 王曦, 黄晨光   

  1. 中国科学院力学研究所水动力学与海洋工程重点实验室, 北京 100190
  • 收稿日期:2011-07-06 修回日期:2011-12-22 出版日期:2012-02-15 发布日期:2012-02-20
  • 作者简介:路玲玲, 硕士. 研究方向: 结构健康监测. E-mail: lulingling@imech.ac.cn;王曦, 特聘副研究员, 博士, 从事泡沫金属材料、 形状记忆合金等智能材料的力学特性研究. E-mail: xiwang@imech.ac.cn;黄晨光, 研究员, 博士, 博导, 从事冲击动力学、激光与物质 的相互作用, 结构动力学等研究. E-mail:huangchenguang@imech.ac.cn
  • 基金资助:

    中国科学院装备项目结构健康分析项目(0741421YB1)和中国科学院知识创新工程重要 方向项目(KJCX2-EW-L04)资助.

COMBINATORIAL OPTIMAL ALGORITHM FOR SENSOR ARRANGEMENT IN STRUCTURAL HEALTH MONITORING SYSTEM

LU Lingling, WANG Xi, HUANG Chenguang   

  1. Key Laboratory of Hydrodynamics and Ocean Engineering, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2011-07-06 Revised:2011-12-22 Online:2012-02-15 Published:2012-02-20

摘要: 在对结构健康监测中的传感器优化布置方法进行调研和总结的基础上,针对薄板、壳结构开展传感器优化布置的研究.提出了一种有效的传感器优化布置组合算法,由模态动能法、模态保证准则、遗传算法组合而成.该方法所得的传感器位置主要位于动态响应比较大区域,有利于提高信噪比;同时能够有效地保证模态振型的独立性,可以较完整地获得结构模态信息.针对这种组合算法的有效性采用简易机翼模型从数值计算和实验两方面进行了验证.

关键词:

结构健康监测|传感器优化布置|遗传算法|模态动能法|模态保证准则

Abstract: In this paper, we present an effective optimization method of sensor arrangement for monitoring the dynamic response of thin flexible structures like plates and shells. The proposed method consists of genetic algorithm, modal kinetic energy and modal assurance criterion. A simplified wing structure is used to evaluate the effectiveness of the method. The numerical analysis and experimental results demonstrate that the proposed optimization algorithm can be used to determine effectively sensor arrangements. Firstly, the modal kinetic energy algorithm is used to catch the degree of freedom of the dynamic response of the structure with a large amplitude, and effectively improves the signal-noise ratio during the health monitoring. Secondly, the combination of genetic algorithm and modal assurance criterion can effectively ensure the independence of modal shapes, and provide more modal information of the structure, such as the modal frequency and the modal shape. The damage detection and the estimation of the residual life are more accurate and effective by using the proposed optimization method.

Key words:

structural health monitoring (SHM)|optimal sensor locations (OSL)|genetic algorithm|modal kinetic energy|modal assurance criterion

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