Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring
In this paper, we investigate vehicle–bridge interactions and propose a new method for assessing bridge conditions based on nonlinear vibration analysis. A vehicle model is presented, and the dynamic load on the bridge is quantified based on bridge road roughness. The vibration of a river bridge und...
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doaj-5d3201a959de44d396ea1d05df29f7bc2020-11-25T03:49:26ZengSAGE PublishingJournal of Low Frequency Noise, Vibration and Active Control1461-34842048-40462019-12-013810.1177/1461348418811703Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoringDejian MengFeng XiaoLijun ZhangXiaotian XuGang S ChenWael ZatarJ Leroy HulseyIn this paper, we investigate vehicle–bridge interactions and propose a new method for assessing bridge conditions based on nonlinear vibration analysis. A vehicle model is presented, and the dynamic load on the bridge is quantified based on bridge road roughness. The vibration of a river bridge under a moving vehicle is recorded and analyzed. The Fourier spectrum of the bridge response due to vehicle loading exhibits complicated cluster bands in addition to multiple peaks, some of which are correlated with the bridge natural modes characterized by finite element method analysis and free decay testing, and some of which are correlated with the vehicle dynamic load spectrum. To characterize the unidentified narrow band in the bridge response spectrum, the Lyapunov exponent of the response is estimated, which is found to be a positive value indicating the nonlinear properties of the bridge’s large response under vehicle loading. This finding correlates with the bridge inspection, which shows that some supporting roller bearings do not properly contact the superstructure of the bridge. To elaborate this phenomenon, a model of beam with nonideal supporting condition is analyzed, and a narrow band spectrum is characterized using He’s variational-iteration method. This research offers insight to using the vehicle–bridge interaction to monitor the health status of a bridge by using nonlinear properties, as well as linear properties.https://doi.org/10.1177/1461348418811703 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dejian Meng Feng Xiao Lijun Zhang Xiaotian Xu Gang S Chen Wael Zatar J Leroy Hulsey |
spellingShingle |
Dejian Meng Feng Xiao Lijun Zhang Xiaotian Xu Gang S Chen Wael Zatar J Leroy Hulsey Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring Journal of Low Frequency Noise, Vibration and Active Control |
author_facet |
Dejian Meng Feng Xiao Lijun Zhang Xiaotian Xu Gang S Chen Wael Zatar J Leroy Hulsey |
author_sort |
Dejian Meng |
title |
Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
title_short |
Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
title_full |
Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
title_fullStr |
Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
title_full_unstemmed |
Nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
title_sort |
nonlinear vibration analysis of vehicle–bridge interaction for condition monitoring |
publisher |
SAGE Publishing |
series |
Journal of Low Frequency Noise, Vibration and Active Control |
issn |
1461-3484 2048-4046 |
publishDate |
2019-12-01 |
description |
In this paper, we investigate vehicle–bridge interactions and propose a new method for assessing bridge conditions based on nonlinear vibration analysis. A vehicle model is presented, and the dynamic load on the bridge is quantified based on bridge road roughness. The vibration of a river bridge under a moving vehicle is recorded and analyzed. The Fourier spectrum of the bridge response due to vehicle loading exhibits complicated cluster bands in addition to multiple peaks, some of which are correlated with the bridge natural modes characterized by finite element method analysis and free decay testing, and some of which are correlated with the vehicle dynamic load spectrum. To characterize the unidentified narrow band in the bridge response spectrum, the Lyapunov exponent of the response is estimated, which is found to be a positive value indicating the nonlinear properties of the bridge’s large response under vehicle loading. This finding correlates with the bridge inspection, which shows that some supporting roller bearings do not properly contact the superstructure of the bridge. To elaborate this phenomenon, a model of beam with nonideal supporting condition is analyzed, and a narrow band spectrum is characterized using He’s variational-iteration method. This research offers insight to using the vehicle–bridge interaction to monitor the health status of a bridge by using nonlinear properties, as well as linear properties. |
url |
https://doi.org/10.1177/1461348418811703 |
work_keys_str_mv |
AT dejianmeng nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT fengxiao nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT lijunzhang nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT xiaotianxu nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT gangschen nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT waelzatar nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring AT jleroyhulsey nonlinearvibrationanalysisofvehiclebridgeinteractionforconditionmonitoring |
_version_ |
1724495528930050048 |