Bridge Structural Condition Assessment Based on Vibration and Traffic Monitoring
Publication: Journal of Engineering Mechanics
Volume 135, Issue 8
Abstract
A stochastic model of traffic excitation on bridges is developed assuming that the arrival of vehicles traversing a bridge (modeled as an elastic beam) follows a Poisson process, and that the contact force of a vehicle on the bridge deck can be converted to equivalent dynamic loads at the nodes of the beam elements. The parameters in this model, such as the Poisson arrival rate and the stochastic distribution of vehicle speeds, are obtained by image processing of traffic video data. The model reveals that traffic excitations on bridges are spatially correlated. This important characteristic is usually incorrectly ignored in most output-only methods for the identification of bridge structural properties using traffic-induced vibration measurement data. In this study, the stochastic traffic excitation model with partial traffic information is incorporated in a Bayesian framework, to evaluate the structural properties and update their uncertainty for condition assessment of the bridge superstructure. The vehicle weights are also estimated simultaneously in this procedure. The proposed structural assessment methodology is validated on an instrumented highway bridge.
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Acknowledgments
This research is supported by the National Science Foundation, under Grants Nos. NSFCMS-0510507 (UCI) and NSFCMS-0510655 (WSU), and the California Department of Transportation under Contract No. UNSPECIFIED59A0311. The writers would like to appreciate the assistance of Dr. Yoshio Fukuda in the field experiments and processing of the traffic video data.
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© 2009 ASCE.
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Received: Mar 30, 2006
Accepted: Dec 29, 2008
Published online: Jul 15, 2009
Published in print: Aug 2009
Notes
Note. Associate Editor: Erik A. Johnson
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