|本期目录/Table of Contents|

[1]黄民水,雷勇志.基于模态参数的结构损伤识别应用综述[J].武汉工程大学学报,2021,43(04):417-427.[doi:10.19843/j.cnki.CN42-1779/TQ.202009010]
　HUANG Minshui,LEI Yongzhi.Review of Structural Damage Identification Methods Based on Modal Parameters[J].Journal of Wuhan Institute of Technology,2021,43(04):417-427.[doi:10.19843/j.cnki.CN42-1779/TQ.202009010]
点击复制

基于模态参数的结构损伤识别应用综述(/HTML)
分享到：

《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
43
期数:
2021年04期
页码:
417-427
栏目:
资源与环境工程
出版日期:
2021-08-31

文章信息/Info

Title:
Review of Structural Damage Identification Methods Based on Modal Parameters
文章编号:
1674 - 2869（2021）04 - 0417 - 11
作者:
黄民水; 雷勇志
武汉工程大学土木工程与建筑学院，湖北 武汉 430074
Author(s):
HUANG Minshui; LEI Yongzhi
School of Civil Engineering and Architecture，Wuhan Institute of Technology， Wuhan 430074， China
关键词:
损伤识别; 模态参数; 温度影响; 环境噪声; 结构健康监测
Keywords:
damage identification; modal parameter; effect of temperature; environmental noise; structural health monitoring
分类号:
TU312
DOI:
10.19843/j.cnki.CN42-1779/TQ.202009010
文献标志码:
A
摘要:
通过对损伤识别领域常用的模态参数如频率、振型、模态曲率、模态应变能、里兹向量及阻尼比进行了分析比较，总结了各参数的优缺点；其次对损伤识别相关算法如模式识别及智能算法工具进行了介绍，概括了两类工具的应用现状。随后针对损伤识别过程中存在的环境因素干扰（包括温度变化影响及外界振动噪声）进行了讨论，论述了环境因素对损伤识别的负面影响。最后，从6个方面，即传感器技术、有限元模型构建、损伤指标、数据处理工具、在线结构健康监测系统开发、以及健康监测标准，对基于模态参数的损伤识别未来的发展趋势进行了预测。
Abstract:
The common modal parameters in the field of damage identification，such as frequency，mode shape，modal curvature，modal strain energy，Ritz vector and damping ratio were analyzed and compared， and the demerits and merits of each one were summarized. Then the pattern recognition and intelligent algorithms were introduced，and their present status and applications were generalized. Furthermore，the interferences of environmental factors (including temperature variations and vibration noise) on damage identification were discussed， and the negative effects of these factors were investigated. Finally， from the six aspects， namely， sensor technology， finite element model establishment， damage indicator， data processing tool and development of online structural health monitoring system and health monitoring standard， the future trends of modal parameters-based damage identification were forecasted.

参考文献/References:

［1］　RYTTER A. Vibration based inspection of civil engineering structures ［D］. Denmark：Aallborg University，1993. ［2］　SALAWU O S. Detection of structural damage through changes in frequency：a review ［J］. Engineering Structures，1997，19（9）：718-723. ［3］　KIM D G，LEE S B. Structural damage identification of a cantilever beam using excitation force level control ［J］. Mechanical Systems and Signal Processing，2010，24（6）：1814-1830. ［4］　KO J M，SUN Z G，NI Y Q. Multi-stage identification scheme for detecting damage in cable-stayed Kap Shui Mun Bridge ［J］. Engineering Structures，2002，24（7）：857-868. ［5］　YANG Z B， CHEN X F， YU J， et al. A damage identification approach for plate structures based on frequency measurements ［J］. Nondestructive Testing and Evaluation，2013，28（4）：321-341. ［6］　CERRI M N，VESTRONI F. Use of frequency change for damage identification in reinforced concrete beams ［J］. Journal of Vibration and Control，2003，9（3/4）：475-491. ［7］　CONTURSI T， MESSINA A， WILLIAMS E J. A multiple-damage location assurance criterion based on natural frequency changes ［J］. Journal of Vibration and Control，1998，4（5）：619-633. ［8］　侯吉林，欧进萍，Lukasz JANKOWSKI. 基于局部主频率的子结构损伤识别研究与试验［J］. 工程力学，2012，29（9）：99-105. ［9］　杨秋伟，刘济科. 结构损伤识别的附加质量方法［J］. 工程力学，2009，26（5）：159-163. ［10］　ALLEMANG R J. The modal assurance criterion-twenty years of use and abuse ［J］. Journal of Sound and Vibration，2003，37（8）：14-23. ［11］　ALLEMANG R J， BROWN D L. A correlation coefficient for modal vector analysis［C］// Proceedings of the 1st International Modal Analysis Conference and Exhibit，November 8-10，1982，Orlando，FL，USA.Schenectady U.S.A：Union College，1982：110-116. ［12］　LIEVEN N A J，EWINS D J. Spatial correlation of mode shapes：the coordinate modal assurance criterion（COMAC）［C］// Proceedings of the 6th International Modal Analysis Conference，February 1-4，1988，Kissimmee，Florida，USA. Schenectady U.S.A：Union College，1988：690-695. ［13］　SHI Z Y， LAW S S， ZHANG L M. Damage localization by directly using incomplete mode shapes ［J］. Journal of Engineering Mechanics，2000，126（6）：656-660. ［14］　PANDEY A K， BISWAS M， SAMMAN M M. Damage detection from changes in curvature mode shapes ［J］. Journal of Sound and Vibration，1991，145（2）：321-332. ［15］　ABDEL WAHAB M M， DE ROECK G. Damage detection in bridges using modal curvatures：application to a real damage scenario ［J］. Journal of Sound and Vibration，1999，226（2）：217-235. ［16］　TOMASZEWSKA A. Influence of statistical errors on damage detection based on structural flexibility and mode shape curvature［J］. Computers & Structures，2010，88（3/4）： 154-164. ［17］　NI Y Q， ZHOU H F， CHAN K C， et al. Modal flexibility analysis of cable-stayed Ting Kau Bridge for damage identification ［J］. Computer‐Aided Civil and Infrastructure Engineering，2008，23（3）：223-236. ［18］　LI J， WU B S， ZENG Q C， et al. A generalized flexibility matrix based approach for structural damage detection ［J］. Journal of Sound and Vibration，2010，329（22）：4583-4587. ［19］　SHI Z Y，LAW S S，ZHANG L M. Structural damage detection from modal strain energy change ［J］. Journal of Engineering Mechanics，2000，126（12）：1216-1223. ［20］　SHI Z Y，LAW S S，ZHANG L M. Structural damage localization from modal strain energy change ［J］. Journal of Sound and Vibration，1998，218（5）：825-844. ［21］　YAN W J， REN W X， HUANG T L. Statistic structural damage detection based on the closed-form of element modal strain energy sensitivity ［J］. Mechanical Systems and Signal Processing，2012，28：183-194. ［22］　WANG S Q. Iterative modal strain energy method for damage severity estimation using frequency measurements ［J］. Structural Control and Health Monitoring，2013，20（2）：230-240. ［23］　CAO T T， ZIMMERMAN D C. Application of load dependent Ritz vectors in structural damage detection［C］// Proceedings of the 15th International Modal Analysis Conference，February 3-6，1997，Orlando，FL，USA. Bethel U.S.A：Sem Society for Experimental Mechanics，Inc. ，1997：1319-1324. ［24］　SOHN H， LAW K H. Damage diagnosis using experimental Ritz vectors ［J］. Journal of Engineering Mechanics，2001，127（11）：1184-1193. ［25］　CURADELLI R O，RIERA J D， AMBROSINI D，et al. Damage detection by means of structural damping identification ［J］. Engineering Structures，2008，30（12）：3497-3504. ［26］　MODENA C， SONDA D， ZONTA D. Damage localization in reinforced concrete structures by using damping measurements［J］. Key Engineering Materials，1999，167/168：132-141. ［27］　ELSHAFEY A A，HADDARA M R，MARZOUK H. Damage detection in offshore structures using neural networks ［J］. Marine Structures，2010，23（1）：131-145. ［28］　ARANGIO S， BONTEMPI F. Structural health monitoring of a cable-stayed bridge with Bayesian neural networks ［J］. Structure and Infrastructure Engineering，2015，11（4）：575-587. ［29］　王名月，缪炳荣，李旭娟，等. 基于转角模态和小波神经网络的连续梁损伤识别研究［J］. 力学季刊，2016，37（4）：684-691. ［30］　卢嘉鑫，杨晓明. 用于斜拉桥子结构损伤识别的神经网络性能分析［J］. 辽宁工程技术大学学报（自然科学版），2018，37（3）：558-563. ［31］　CHA Y J， CHOI W， BüYüK?ZTüRK O. Deep learning-based crack damage detection using convolutional neural networks ［J］. Computer‐Aided Civil and Infrastructure Engineering，2017，32（5）：361-378. ［32］　YAN B， CUI Y， ZHANG L， et al. Beam structure damage identification based on BP neural network and support vector machine ［J］. Mathematical Problems in Engineering，2014：850141：1-8. ［33］　HASNI H，ALAVI A H， JIAO P C， et al. Detection of fatigue cracking in steel bridge girders： a support vector machine approach［J］. Archives of Civil and Mechanical Engineering，2017，17（3）：609-622. ［34］　OH C K， SOHN H. Damage diagnosis under environmental and operational variations using unsupervised support vector machine ［J］. Journal of Sound and Vibration，2009，325（1/2）：224-239. ［35］　?EVIK A，KURTO[G]LU A E，BILGEHAN M，et al. Support vector machines in structural engineering：a review ［J］. Journal of Civil Engineering and Management，2015，21（3）：261-281. ［36］　HOSSEINABADI H Z，AMIRFATTAHI R，NAZARI B，et al. GUW-based structural damage detection using WPT statistical features and multiclass SVM ［J］. Applied Acoustics，2014，86：59-70. ［37］　CHONG J W， KIM Y， CHON K H. Nonlinear multiclass support vector machine-based health monitoring system for buildings employing magnetorheological dampers ［J］. Journal of Intelligent Material Systems and Structures，2014，25（12）：1456-1468. ［38］　黄民水，朱宏平，李炜明. 基于改进遗传算法的桥梁结构传感器优化布置［J］. 振动与冲击，2008，27（3）：82-86，181-182. ［39］　滕军，朱焰煌. 大跨空间钢结构模态参数测试传感器优化布置［J］. 工程力学，2011，28（3）：150-156. ［40］　MERUANE V，HEYLEN W. An hybrid real genetic algorithm to detect structural damage using modal properties ［J］. Mechanical Systems and Signal Processing，2011，25（5）：1559-1573. ［41］　LIU H B，JIAO Y B. Application of genetic algorithm-support vector machine （GA-SVM） for damage identification of bridge ［J］. International Journal of Computational Intelligence and Applications，2011，10（4）：383-397. ［42］　宫亚峰，程永春，焦峪波. 基于静力应变及遗传优化神经网络的城市立交桥梁损伤识别［J］. 吉林大学学报（工学版），2011，41（增刊2）：164-169. ［43］　陈震，朱军华，余岭. 一种基于改进PSO算法的结构损伤识别方法［J］. 振动与冲击，2012，31（5）：17-20. ［44］　XU H J， LIU J K， LU Z R. Structural damage identification based on cuckoo search algorithm ［J］. Advances in Structural Engineering，2016，19（5）：849-859. ［45］　GUAN D Q， TANG X， ZHANG J W. Damage identification of structures based on wavelet analysis and artificial fish-swarm algorithm［C］// Proceedings of the 3rd International Forum on Energy，Environment Science and Materials，November 25-26，2017，Shenzhen，China. Paris，France：Atlantis Press， 2017：435-438. ［46］　NOURI SHIRAZI M R，MOLLAMAHMOUDI H，SEYEDPOOR S M. Structural damage identification using an adaptive multi-stage optimization method based on a modified particle swarm algorithm ［J］. Journal of Optimization Theory and Applications，2014，160（3）：1009-1019. ［47］　黄民水，乾超越，程绍熙，等. 基于改进布谷鸟搜索的Benchmark框架损伤识别［J］. 振动与冲击，2018，37（22）：158-163. ［48］　YU L，LI C. A global artificial fish swarm algorithm for structural damage detection ［J］. Advances in Structural Engineering，2014，17（3）：331-346. ［49］　DU D C，VINH H H，TRUNG V D，et al. Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function［J］. Engineering Optimization，2018，50（8）：1233-1251. ［50］　KAVEH A， VAEZ S R H， HOSSEINI P， et al. Detection of damage in truss structures using simplified dolphin echolocation algorithm based on modal data ［J］. Smart Structures and Systems，2016，18（5）：983-1004. ［51］　GHANNADI P，KOUREHLI S S. Structural damage detection based on MAC flexibility and frequency using moth-flame algorithm ［J］. Structural Engineering and Mechanics，2019，70（6）：649-659. ［52］　HE R S， HWANG S F. Damage detection by an adaptive real-parameter simulated annealing genetic algorithm ［J］. Computers and Structures，2006，84（31/32）：2231-2243. ［53］　HUANG M S， LEI Y Z， CHENG S X. Damage identification of bridge structure considering temperature variations based on particle swarm optimization-cuckoo search algorithm ［J］. Advances in Structural Engineering，2019，22（15）：3262-3276. ［54］　QIAN X D， CAO M S， SU Z Q， et al. A hybrid particle swarm optimization （PSO）-simplex algorithm for damage identification of delaminated beams ［J］. Mathematical Problems in Engineering，2012：607418：1-11. ［55］　FARRAR C R，DOEBLING S W，CORNWELL P J，et al. Variability of modal parameters measured on the Alamosa Canyon Bridge ［R］. New Mexico：Los Alamos National Laboratory，1996. ［56］　ALAMPALLI S. Influence of in-service environment on modal parameters［C］//Proceedings of the 1998 16th International Modal Analysis Conference，February 2-5，1998，Santa Barbara，CA，USA. Bethel U.S.A：Sem Society for Experimental Mechanics，Inc. ，1998：111-116. ［57］　ASKEGAARD V， MOSSING P. Long term observation of RC-bridge using changes in natural frequency ［J］. Nordic Concrete Research，1988，7：20-27. ［58］　XU Z D， WU Z S. Simulation of the effect of temperature variation on damage detection in a long-span cable-stayed bridge ［J］. Structural Health Monitoring，2007，6（3）：177-189. ［59］　KIM J T， PARK J H， LEE B J. Vibration-based damage monitoring in model plate-girder bridges under uncertain temperature conditions ［J］. Engineering Structures，2007，29（7）：1354-1365. ［60］　XIA Y， XU Y L， WEI Z L，et al. Variation of structural vibration characteristics versus non-uniform temperature distribution ［J］. Engineering Structures，2011，33（1）：146-153. ［61］　XIA Y，CHEN B，WEN S，et al. Temperature effect on vibration properties of civil structures：a literature review and case studies［J］. Journal of Civil Structural Health Monitoring，2012，2（1）：29-46. ［62］　YAN A M， KERSCHEN G， DE BOE P， et al. Structural damage diagnosis under varying environmental conditions—part I：a linear analysis ［J］. Mechanical Systems and Signal Processing，2005，19（4）：847-864. ［63］　MAZUREK D F，DEWOLF J T. Experimental study of bridge monitoring technique ［J］. Journal of Structural Engineering，1990，116（9）：2532-2549. ［64］　KIM C Y， JUNG D S， KIM N S， et al. Effect of vehicle weight on natural frequencies of bridges measured from traffic-induced vibration ［J］. Earthquake Engineering and Engineering Vibration，2003，2（1）：109-115. ［65］　ZHANG Q W， FAN L C， YUAN W C. Traffic-induced variability in dynamic properties of cable-stayed bridge ［J］. Earthquake Engineering and Structural Dynamics，2002，31（11）：2015-2021. ［66］　ZEIBAK-SHINI R，SACKS R，MA L，et al. Towards generation of as-damaged BIM models using laser-scanning and as-built BIM：first estimate of as-damaged locations of reinforced concrete frame members in masonry infill structures ［J］. Advanced Engineering Informatics，2016，30（3）：312-326.

相似文献/References:

[1]黄民水,李杰,何波.框架结构基准有限元模型的理论及试验[J].武汉工程大学学报,2009,(09):23.
　HUANG Min shui,LI Jie,HE Bo.Theoretical and experimental study on the construction of baseline finite element model of frame structure[J].Journal of Wuhan Institute of Technology,2009,(04):23.

备注/Memo

备注/Memo:
收稿日期：2020-09-15基金项目：广西玉林市科学研究与技术开发计划项目（玉市科20202927）；武汉市城建委科技项目（201804）作者简介：黄民水，博士，教授。E-mail： [email protected]引文格式：黄民水，雷勇志. 基于模态参数的结构损伤识别应用综述［J］. 武汉工程大学学报，2021，43（4）：417-427.
更新日期/Last Update: 2021-08-07