土木工程结构损伤识别研究
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摘要
结构损伤识别是近年来国际上的研究热点。阐述了实施土木工程结构损伤识别的必要性,在综述近几年国内外有关结构损伤诊断研究进展的基础上,讨论了结构损伤检测中的两类方法,重点对损伤识别中的动力指纹法、模型修正法、神经网络法、遗传算法、小波分析法进行了分析和比较,最后阐述了结构损伤识别领域目前存在的主要问题和未来的发展方向。
Structural damage identification has become a popular item over the world recently.The necessity to implement structural damage identification in civil engineering is introduced.On the basis of reviewing the recent researches on the structural damage diagnosis at home and abroad,two kinds of measurements in structural damage detection are discussed.The methods in damage identification are especially analyzed and compared,including dynamical parameter,model modification,artificial neural network,genetic algorithm and wavelet analysis.Last,the important problems and development direction in future researches are pointed out.
Structural damage identification has become a popular item over the world recently.The necessity to implement structural damage identification in civil engineering is introduced.On the basis of reviewing the recent researches on the structural damage diagnosis at home and abroad,two kinds of measurements in structural damage detection are discussed.The methods in damage identification are especially analyzed and compared,including dynamical parameter,model modification,artificial neural network,genetic algorithm and wavelet analysis.Last,the important problems and development direction in future researches are pointed out.
引文
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[15]Kaminski P C.The approximation location of damagethrough the analysis of natural frequencies withartificial networks[J].Journal of Process MechanicalEnginerring,1995,209(E2).
[16]Elkordy M F,Chang K C,Lee G C.Neural netwokstrained by analytically simulated damage state[J].Journal of Computing in Civil Engineering,ASCE,1993,7(2).
[17]Koh C G,Zhao S L,Liaw C Y.Non—destructiveParameter Identification of Structures[R].NED forHealth Monitoring and Diagnostics,San Diego,2002.4704~04.CD Version.
[18]易伟健,刘霞.结构损伤诊断的遗传算法研究[J].系统工程理论与实践,2001,(5).
[19]徐洪钟,吴中如.基于小波分析的大坝观测数据异常值检测[J].水电能源科学,2002,20(4).
[20]Hou Z,Noori M,St.Amand R.Wavelet-BasedApproach for Structural Damage Detection[J].ASCE,Journal of Engineering Mechanics,2000,126(7).
[21]Hou Z,Noori M.Wavelet-Based Approach forASCE Structural Health Monitoring BenchmarkStudies[R].Proceedings of the 3rd InternationalWorkshop on Structural Health Monitoring.StanfordUniversity.Stanford,CA,2001.CD Version.
[2]Ma J,et a1.Detecting multiple damages in a civilstructure model[R].Smart Structures and Materials,San Diego,2002.
[3]Kim HY.Vibration-Based Damage identification usingreconstructed FRFS in composite structures[J].Journal of Sound and Vibration,2003,259(5).
[4]Schulz W,et a1.Real-time damage assessment of civilstructure using fiber grating sensors and modalanalysis[R].Smart Structures and Materials,SanDiego,2002.
[5]Peairs D M,et a1.Reducing the cost of impendence-based structural health monitoring[R].NDE forHealth Monitoring and Diagnostics.San Diego,2002.
[6]Wang B S,Hang X B,Ni Y Q,et a1.Comparativestudy of damage indices in application to along-spansuspension bridge[A].Proceedings of theInternational Conference on Advances in StructuralDynamics[C].Hongkong Polytechnic University,Hong Kong,2000.
[7]Doebling S W.Minimum-rank optimal update ofelemental stiffness parameters for structural damageidentification[J].AIAA Journal,1996,34(12).
[8]Kim H M,Bartkowicz T J.A two-step structuraldamage detection approach with limited instrume-ntation[J].Journal of Vibration and Acoustics,1997,119(2).
[9]王柏生,倪一清,等.青马大桥桥板结构损伤位置识别的数值模拟[J].土木工程学报,2001,34(3).
[10]王中东,夏熙梅.基于剩余模态力分析方法的结构损伤识别[J].吉林工业大学自然科学学报,1999,29(3).
[11]张启伟,史家钧,项海帆.大型桥梁结构损伤识别方法研究[J].上海市政工程,1998,(2).
[12]张启伟,范立础.利用动静力测量数据的桥梁结构损伤识别[J].同济大学学报,1998,26(5).
[13]高赞明,孙宗光,倪一清.基于振动方法的汲水门大桥损伤检测研究[J].地震工程与工程振动,2001,21(4).
[14]Ko J M,Ni Y Q,Zhou X T,Wang J Y.Structuraldamage alarming in Ting Kau Bridge using auto-associative neural networks[A].Advances inStructural Dynamics[M].Vo1.II.
[15]Kaminski P C.The approximation location of damagethrough the analysis of natural frequencies withartificial networks[J].Journal of Process MechanicalEnginerring,1995,209(E2).
[16]Elkordy M F,Chang K C,Lee G C.Neural netwokstrained by analytically simulated damage state[J].Journal of Computing in Civil Engineering,ASCE,1993,7(2).
[17]Koh C G,Zhao S L,Liaw C Y.Non—destructiveParameter Identification of Structures[R].NED forHealth Monitoring and Diagnostics,San Diego,2002.4704~04.CD Version.
[18]易伟健,刘霞.结构损伤诊断的遗传算法研究[J].系统工程理论与实践,2001,(5).
[19]徐洪钟,吴中如.基于小波分析的大坝观测数据异常值检测[J].水电能源科学,2002,20(4).
[20]Hou Z,Noori M,St.Amand R.Wavelet-BasedApproach for Structural Damage Detection[J].ASCE,Journal of Engineering Mechanics,2000,126(7).
[21]Hou Z,Noori M.Wavelet-Based Approach forASCE Structural Health Monitoring BenchmarkStudies[R].Proceedings of the 3rd InternationalWorkshop on Structural Health Monitoring.StanfordUniversity.Stanford,CA,2001.CD Version.
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