Dynamic axle force and road profile identification using a moving vehicle

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Title: Dynamic axle force and road profile identification using a moving vehicle
Authors: McGetrick, P.
Kim, Chul-Woo
González, Arturo
et al.
Permanent link: http://hdl.handle.net/10197/4879
Date: 2013
Abstract: In the interaction between vehicles, pavements and bridges, it is essential to aim towards a reduction of vehicle axle forces to promote longer pavement life spans and to prevent bridges loads becoming too high. Moreover, as the road surface roughness affects the vehicle dynamic forces, an efficient monitoring of pavement condition is also necessary to achieve this aim. This paper uses a novel algorithm to identify the dynamic interaction forces and pavement roughness from vehicle accelerations in both theoretical simulations and a laboratory experiment; moving force identification theory is applied to a vehicle model for this purpose. Theoretical simulations are employed to evaluate the ability of the algorithm to predict forces over a range of bridge spans and to evaluate the influence of road roughness level on the accuracy of the results. Finally, in addressing the challenge for the real-world problem, the effects of vehicle configuration and speed on the predicted road roughness are also investigated in a laboratory experiment.
Type of material: Journal Article
Publisher: International Association for Sustainable Development and Management
Copyright (published version): 2012 International Association for Sustainable Development and Management
Keywords: Acceleration;dynamic axle forces;inverse dynamics;laboratory experiment;pavement roughness;vehicle-bridge interaction
Language: en
Status of Item: Peer reviewed
Appears in Collections:Earth Institute Research Collection
Civil Engineering Research Collection

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