Volume 3,Issue 7
Fall 2025
基于动力特性的结构损伤识别研究现状与展望
结构损伤识别方法是结构健康检测系统的重要组成部分,是确保工程结构安全的重要环节。本文旨在综述结构损伤识别的基本原理与方法,详细介绍基于结构固有频率、振型、模态以及智能算法等不同技术路线的损伤识别方法,并对这些方法的优缺点和应用范围进行分析。同时,本文还对结构损伤识别方法的未来发展趋势进行展望,探讨如何结合新技术、新方法,推动结构损伤识别技术的不断创新和进步。为相关领域研究人员提供参考,共同推动结构损伤识别技术的创新与应用。
[1]SEN D,AGHAZADEH A,MOUSAVI A,et al.Sparsity-based approaches for damage detection in plates[J].Mechanical Systems and Signal Processing,2019,117: 333
346.
[2]陈雅璠.结构损伤识别技术的研究[J].科技创新与应用,2022,12(17):173-176.
[3]Cawley P,Adams R D.The location of defects in structures from measurements of natural frequencies[J].The Journal of Strain Analysis for Engineering Design, 1979,14(2):
49-57.
[4]Salawu O S .Detection of structural damage through changes in frequency: a review[J].Journal of Engineering Structures, 1997, 19( 9):718-723.
[5]Hearn G ,Testa R B .Modal Analysis for Damage Detection in Structures[J].Journal of Structural Engineering, 1991, 117(10):3042-3063.
[6]王凤丹,宋学力,李荣鹏,等. 基于固有频率和应变模态加权 lp 正则化模型的小损伤识别[J]. 中国公路学报,2023,36(4):124-134.
[7]钟军军, 董聪, 夏开全. 基于频率及振型参数的结构损伤识别方法[J]. 土木工程与管理学报, 2009, 26(4):1-4.
[8]李志强. 基于结构健康检测理论的构件损伤识别研究[D]. 中国海洋大学 港口、海岸及近海工程, 2006.
[9]姚忠伟, 全强, 刘立军. 结构损伤识别理论的研究现状与进展[J]. 黑龙江交通科技, 2005,28(9): 4.
[10]West W M .Illustration of the use of modal assurance criterion to detect structural changes in an Orbiter test specimen[J]. 1986.
[11]Kim J T, Ryu Y S, Cho H M, et al. Damage identification in beam-type structures: frequency-based method vs mode-shape-based method- ScienceDirect[J]. Engineering
Structures, 2003,25(1): 57-67.
[12]Haoyue C ,Jun G ,Yin Z , et al.Experimental research on damage identification of fully free beams based on modal shapes[J].Applied Ocean Research,2023,139.
[13]陈淮,禹丹江.基于曲率模态振型进行梁式桥损伤识别研究[J].公路交通科技,2004,(10):55-57+65.
[14]陈淮,何伟,王博,等.基于频率和振型摄动的结构损伤识别方法研究[J].工程力学,2010,27(12):244-249.
[15]王盟,翁顺,余兴胜,等.基于时变模态振型小波变换的结构损伤识别方法[J].振动与冲击,2021,40(16):10-19.
[16]Pandey A K , Biswas M , Samman M M .Damage detection from changes in curvature mode shapes[J].Journal of Sound Vibration, 1991, 145(2):321-332.
[17]Daniele D, Gabriele G. Damage identification techniques via modal curvature analysis: Overview and comparison[J]. Mechanical Systems and Signal Processing, 2015,52
53: 181-205.
[18]Gorgin R, Wang Z P. Structural Damage Identification Based on Principal Curvatures of Mode Shape[J]. 2020,25(4): 566-576.
[19]徐飞鸿,朱检,张婷婷.基于曲率模态曲线的结构损伤识别方法[J].世界地震工程,2015,31(04):36-42.
[20]任现才,孟昭博,王鑫,等.基于曲率模态和小波变换的木梁损伤识别[J].地震工程与工程振动,2024,44(04):79-88.
[21]Shi Z Y , Law S S , Zhang L M .Improved damage quantification from elemental modal strain energy change[J]. Journal of Engineering Mechanics,2002,128(5): 521–529.
[22]侯永乐,李传梁,常品要.基于动力特性的结构损伤识别研究方法的分析[J].山西建筑,2022,48(15):74-77.
[23]刘银纬.基于应变模态的压电智能层合板结构损伤识别方法研究[D].南京航空航天大学,2015.
[24]Holland J H .Adaptation In Natural And Artificial Systems[J]. 1975.
[25]Khaji N, Mehrjoo M. Crack detection in a beam with an arbitrary number of transverse cracks using genetic algorithms[J]. Journal of Mechanical Science and Technology,
2014,28(3): 823-836.
[26]马成武.桥梁健康监测传感器优化布置及损伤识别方法研究[D].兰州交通大学,2023.
[27]王术新, 姜哲. 基于结构振动损伤识别技术的研究现状及进展[J]. 振动与冲击, 2004,23(4): 4.
[28]Lin Y Z , Nie Z H , Ma H W. Structural Damage Detection with Automatic Feature-Extraction through Deep Learning. Computer-Aided Civil and Infrastructure
Engineering,2017,32(12), 1025–1046.
[29] Teng S , Chen G , Gong P ,et al.Structural damage detection using convolutional neural networks combining strain energy and dynamic response[J].
Meccanica,2020,55(4):945-959.
[30]骆勇鹏,王林堃,廖飞宇,等.基于一维卷积神经网络的结构损伤识别[J].地震工程与工程振动,2021,41(4):145-156.