NDLI: Modal parameter identification of short span bridges under a moving vehicle by means of multivariate AR model

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Modal parameter identification of short span bridges under a moving vehicle by means of multivariate AR model

Content Provider	Scilit
Author	Kim, C. W. Kawatani, M. Hao, J.
Copyright Year	2010
Description	This study is intended to investigate the feasibility of health monitoring of short span bridges based on modal parameter identification using the vibration data of the bridge induced by a moving vehicle. The idea of this study using the traffic-induced vibration of short span bridges which is a kind of non-stationary process is that the modal parameters identified repeatedly under a given moving vehicle provide a pattern which may provide useful information to decide current health condition of bridges. The autoregressive (AR) model is adopted for identifying modal parameters such as frequency and damping characteristics of the bridges. Mode shapes of bridges are obtained using multivariate AR model. Feasibility of the modal parameter identification for health monitoring of short span bridges is observed through a moving vehicle laboratory experiment. Pattern changes of identified parameters are observable by comparing the identification results between intact and damaged girders, which encourages the use of the method for long term health monitoring even for short span bridges.
Related Links	https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/172227/1/15732479.2010.539061.pdf https://core.ac.uk/download/pdf/39298501.pdf
Ending Page	472
Page Count	14
Starting Page	459
ISSN	15732479
e-ISSN	17448980
DOI	10.1080/15732479.2010.539061
Journal	Structure and Infrastructure Engineering
Issue Number	5
Volume Number	8
Language	English
Publisher	Informa UK Limited
Publisher Date	2010-12-21
Access Restriction	Open
Subject Keyword	Civil Engineering Mechanical Engineering Bridge Health Monitoring Moving Vehicle Laboratory Experiment Modal Parameter Identification Autoregressive Model Short Span Bridge Traffic-induced Vibration
Content Type	Text
Resource Type	Article
Subject	Geotechnical Engineering and Engineering Geology Civil and Structural Engineering Ocean Engineering Building and Construction Mechanical Engineering Safety, Risk, Reliability and Quality

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