长输管道悬索跨越结构损伤的试验模拟与识别
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摘要
结构的损伤会导致结构模态参数的变化,通过获取不同损伤模式下结构的模态参数并经过分析对比,可实现对结构的损伤模式识别.为此,针对咸阳至宝鸡天然气输气管道工程的渭惠渠悬索跨越结构,制作了缩尺比例为1∶8的悬索桥模型结构,针对悬索桥模型结构进行了完好状态和3种基本损伤模式状态下的输入白噪声和地震波的振动试验研究,得到了多组长输管道悬索桥模型结构在完好状态和不同损伤状态下的频率参数;且采用目前广泛应用的神经网络BP网络实现了对长输管道悬索桥完好状态和3种主要损伤模式的识别.
Structural damages may result in changes of modal parameters. And the damage patterns can be identified through analysis and comparison of structural modal parameters in different states. Natural features of structures in different damage states can be obtained with neural network even noises in existence. And the damage pattern identification of structures can be realized. In this paper, natural frequencies of cable-suspension structure model of pipelines with 1/8 reduced scale were obtained via vibration experiments. By employing the popular back-propagation neural network, the perfect status and three primary damage patterns of cable-suspension structure model of pipelines were identified.
Structural damages may result in changes of modal parameters. And the damage patterns can be identified through analysis and comparison of structural modal parameters in different states. Natural features of structures in different damage states can be obtained with neural network even noises in existence. And the damage pattern identification of structures can be realized. In this paper, natural frequencies of cable-suspension structure model of pipelines with 1/8 reduced scale were obtained via vibration experiments. By employing the popular back-propagation neural network, the perfect status and three primary damage patterns of cable-suspension structure model of pipelines were identified.
引文
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[7]Guemes J A,Frovel M,Rodriguez-Lence F,et al.Embedded fiber brag grating as local damage sen-sors for composite materials[C]//Smart Structure and Materials:Smart Sensor Technology and Meas-urement Systems.San Diego,USA,2002:118-128.
[8]Adams R D,Cawley P,Pye C J,et al.A vibration technique for non-destructively assessing the integ-rity of structure[J].Journal of Mechanics Engineer-ing Science,1978,20(2):93-100.
[9]AbéMasato.Structural monitoring of civil structures using vibration measurement current practice and fu-ture[G]//LNCI:Artificial Intelligence in Structural Engineering.Heidelberg:Springer Berlin,1998,1454:1-18.
[10]Amizic B,Amaravadi V,Rao V S,et al.Two dimensional wavelet mapping techniques for damage detection in structural systems[C]//Smart Struc-tures and Material:Modeling,Signal Processing,and Controls.San Diego,USA,2002:267-278.
[11]Riedmiller M,Braun H.A direct adaptive method for faster back propagation learning:The RPROP al-gorithm[C]//Proceedings of the IEEE International Conference on Neural Networks.San Francisco,USA,1993:586-591.
[2]Amaravadi V K,Mitchell K,Rao V S,et al.Structural integrity monitoring of composite patch repairs using wavelet analysis and neural net-work[C]//Smart Structures and Materials2002:Smart Structures and Integrated Systems.San Diego,USA,2002,4701:156-166.
[3]Dang N H,Rao V.Embedded Systems for the As-sessment of Structural Damages[R].San Diego:NDE for Health Monitoring and Diagnostics,2002.
[4]Martin W N,Ghoshal A Jr,Sundaresan M J,et al.Artificial nerve system for structural monitoring[C]//Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems.San Diego,USA,2002:49-62.
[5]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].地震工程与工程震动,2001,21(4):117-123.Ko J M,Sun Z G,Ni Y Q.Simulation of damage identification using vibration-based method for Kap Shui Mun Bridge[J].Earthquake Engineering and Engineering Vibration,2001,21(4):117-123(in Chinese).
[6]Flint A R,Mcfadyen A N,Lau C K,et al.Wind and structure health monitoring system(WASHMS)for Lantau fixed crossing,part2performance re-quirements for the bridge instrumentation sys-tem[C]//Bridge into21st Century.Hong Kong,1995:225-232.
[7]Guemes J A,Frovel M,Rodriguez-Lence F,et al.Embedded fiber brag grating as local damage sen-sors for composite materials[C]//Smart Structure and Materials:Smart Sensor Technology and Meas-urement Systems.San Diego,USA,2002:118-128.
[8]Adams R D,Cawley P,Pye C J,et al.A vibration technique for non-destructively assessing the integ-rity of structure[J].Journal of Mechanics Engineer-ing Science,1978,20(2):93-100.
[9]AbéMasato.Structural monitoring of civil structures using vibration measurement current practice and fu-ture[G]//LNCI:Artificial Intelligence in Structural Engineering.Heidelberg:Springer Berlin,1998,1454:1-18.
[10]Amizic B,Amaravadi V,Rao V S,et al.Two dimensional wavelet mapping techniques for damage detection in structural systems[C]//Smart Struc-tures and Material:Modeling,Signal Processing,and Controls.San Diego,USA,2002:267-278.
[11]Riedmiller M,Braun H.A direct adaptive method for faster back propagation learning:The RPROP al-gorithm[C]//Proceedings of the IEEE International Conference on Neural Networks.San Francisco,USA,1993:586-591.
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