[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.12989/sss.2014.13.5.821

A drive-by inspection system via vehicle moving force identification

OBrien, E.J. (School of Civil, Structural and Environmental Engineering, University College Dublin)
McGetrick, P.J. (SPACE, David Keir Building, Queen's University Belfast)
Gonzalez, A. (School of Civil, Structural and Environmental Engineering, University College Dublin)

Publication Information

Smart Structures and Systems / v.13, no.5, 2014 , pp. 821-848 More about this Journal

Abstract

This paper presents a novel method to carry out monitoring of transport infrastructure such as pavements and bridges through the analysis of vehicle accelerations. An algorithm is developed for the identification of dynamic vehicle-bridge interaction forces using the vehicle response. Moving force identification theory is applied to a vehicle model in order to identify these dynamic forces between the vehicle and the road and/or bridge. A coupled half-car vehicle-bridge interaction model is used in theoretical simulations to test the effectiveness of the approach in identifying the forces. The potential of the method to identify the global bending stiffness of the bridge and to predict the pavement roughness is presented. The method is tested for a range of bridge spans using theoretical simulations and the influences of road roughness and signal noise on the accuracy of the results are investigated.

Keywords

acceleration; bridge; global stiffness; inverse dynamics; road profiles; vehicle-bridge interaction; vehicle forces;

Citations & Related Records

Times Cited By KSCI : 2 (Citation Analysis)

Reference
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