Optimal Placement of Sensors for Structural Damage Identification Using Improved Particle Swarm Optimization

doi:10.7652/xjtuxb201501013

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Optimal Placement of Sensors for Structural Damage Identification Using Improved Particle Swarm Optimization

更新时间：2025-07-09

- Optimal Placement of Sensors for Structural Damage Identification Using Improved Particle Swarm Optimization
- Vol. 49, Issue 1, Pages: 79-85(2015)
- 作者机构：
  
  西安交通大学机械结构强度与振动国家重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201501013
  CLC： TU311.3
- Online First：10 January 2015，
  
  Published：2015
- 稿件说明：
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Optimal Placement of Sensors for Structural Damage Identification Using Improved Particle Swarm Optimization[J]. 2015, 49(1): 79-85.
DOI：

Optimal Placement of Sensors for Structural Damage Identification Using Improved Particle Swarm Optimization[J]. 2015, 49(1): 79-85. DOI： 10.7652/xjtuxb201501013.

摘要

为了合理布置结构健康监测系统中传感器的位置及满足结构损伤识别的要求

提出了一种基于改进粒子群算法的传感器优化布置方法。首先以模态保证准则(MAC)矩阵的最大非对角元极小化为目标

构造出满足优化条件的适应度函数

并采用改进的粒子群算法搜索出传感器的最佳布设位置; 其次

利用振型扩充技术把有限测点的测量模态数据扩充为完整自由度模态数据

并利用所提损伤识别方法进行结构损伤识别; 最后

通过一个二维平面桁架结构算例对所提方法进行有效性验证。数值结果表明

所提传感器布设方法能够高效地搜索出给定数目的传感器优化位置

且利用其优化结果能够准确地识别出结构的损伤位置和程度。

Abstract

A method to optimize sensor locations based on an improved particle swarm optimization(PSO)is presented to reasonably arrange sensors in the structural health monitoring and to effectively identify the structural damage. Firstly

a fitness function is constructed as the optimization criterion by minimizing the maximum off-diagonal element of the MAC matrix. Then

an improved PSO is used to find the optimal location of sensors. Secondly

a limited amount of incomplete measured modal data for the structure is expanded into complete modal data by using the dynamic expansion method. Then

a damage identification method is employed to identify the location and the extent of structural damage based on the complete modal data. Finally

a numerical example of the planar truss structure is taken to verify the effectiveness of the proposed method. The simulation results show that the proposed method effectively finds the optimal locations for a given number of sensors in a truss structure and accurately identifies the location and extent of structural damage using the measured modal data obtained from the optimized sensor distribution strategy.

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references

李东升, 张莹, 任亮, 等. 结构健康监测中的传感器布置方法及评价准则 [J]. 力学进展, 2011, 41(1): 39-50.

LI Dongsheng, ZHANG Ying, REN Liang, et al. Sensor deployment for structural health monitoring and their evaluation [J]. Advances in Mechanics, 2011, 41(1): 39-50.

COBB R G, LIEBST B S. Sensor placement and structural damage identification from minimal sensor information [J]. AIAA Journal, 1997, 35(2): 369-374.

SHI Z Y, LAW S S, ZHANG L M. Optimum sensor placement for structural damage detection [J]. Journal of Engineering Mechanics, 2000, 126(11): 1173-1179.

BRUGGI M, MARIANI S. Optimization of sensor placement to damage detection in flexible plates [J]. Engineering Optimization, 2013, 45(6): 659-676.

MOORE E Z, MURPHY K D, NICHOLS J M. Optimized sensor placement for damage parameter estimation: experimental results for a cracked plate [J]. Structural Health Monitoring, 2013, 12(3): 197-206.

曾国华, 董聪. 传感器布置及结构损伤识别的优化方法 [J]. 华中科技大学学报: 城市科学版, 2007, 24(3): 12-16.

ZENG Guohua, DONG Cong. Optimization method for sensor placement and structural damage detection [J]. Journal of Huazhong University of Science and Technology: Urban Science Edition, 2007, 24(3): 12-16.

吴子燕, 何银, 简晓红. 基于损伤敏感性分析的传感器优化配置研究 [J]. 工程力学, 2009, 26(5): 239-244.

WU Ziyan, HE Yin, JIAN Xiaohong. Optimal sensor placement based on sensitivity analysis of structural damage [J]. Engineering Mechanics, 2009, 26(5): 239-244.

孙小猛, 冯新, 周晶. 基于损伤可识别性的传感器优化布置方法 [J]. 大连理工大学学报, 2010, 50(2): 264-270.

SUN Xiaomeng, FENG Xin, ZHOU Jing. A method for optimum sensor placement based on damage identifiability [J]. Journal of Dalian University of Technology, 2010, 50(2): 264-270.

宋玉普, 张亮, 刘志鑫. 测量模态不完整情况下空间网架结构的损伤识别 [J]. 土木工程学报, 2009, 42(1): 10-15.

SONG Yupu, ZHANG Liang, LIU Zhixin. Damage identification of space truss with incomplete measured data [J]. China Civil Engineering Journal, 2009, 42(1): 10-15.

BICANIC N, Chen H P. Damage identification in framed structures using natural frequencies [J]. International Journal for Numerical Methods in Engineering, 1997, 40: 4451-4468.

KIDDER R L. Reduction of structural frequency equations [J]. AIAA Journal, 1973, 11(6): 892.

HASSIOIS S, JEONG G D. Identification of stiffness reduction using natural frequencies [J]. Journal of Engineering Mechanics, 1995, 121(10): 1106-1113.

LI B B, LI D S, ZHAO X F, et al. Optimal sensor placement in health monitoring of suspension bridge [J]. Science China: Technology Sciences, 2012, 55(7): 2039-2047.

LIU W, GAO W C, SUN Y, et al. Optimal sensor placement for spatial lattice structure based on genetic algorithms [J]. Journal of Sound and Vibration, 2008, 317: 175-189.

刘娟, 黄维平, 李华军. 基于遗传算法的传感器优化配置 [J]. 工程力学, 2005, 22(1): 113-117.

LIU Juan, HUANG Weiping, LI Huajun. Optimal sensor placement based on genetic algorithms [J]. Engineering Mechanics, 2005, 22(1): 113-117.

KENNEDY J, EBERHART R C. Particle swarm optimization [C]∥Proceedings of the IEEE International Conference on Neural Networks. Piscataway, NJ, USA: IEEE, 1995: 1942-1948.

SHI Y, EBERHART R C. A modified particle swarm optimizer [C]∥Proceedings of the IEEE International Conference on Evolutionary Computation. Piscataway, NJ, USA: IEEE, 1998: 69-73.

SHI Y, EBERHART R C. Empirical study of particle swarm optimization [C]∥Proceedings of the 1999 Congress on Evolutionary Computation. Piscataway, NJ, USA: IEEE, 1999: 1945-1950.

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