Dynamic Axle Force and Road Profile Identification Using a Moving Vehicle

Title:

Dynamic Axle Force and Road Profile Identification Using a Moving Vehicle

Authors: Patrick J. McGetrick (Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto 615-8540, Japan);
Chul-Woo Kim (Department of Civil and Earth Resources Engineering, Kyoto University, Kyoto 615-8540, Japan);
Arturo González (School of Civil, Structural and Environmental Engineering, University College Dublin, Belfield, Dublin 4, Ireland);
Eugene J. OBrien (School of Civil, Structural and Environmental Engineering, University College Dublin, Belfield, Dublin 4, Ireland).
Issue: Vol 2, No 1 (2013)
Pages: 1-16
Section: Research Paper
DOI: 10.7492/IJAEC.2013.001
Citation: Patrick J. McGetrick, Chul-Woo Kim, Arturo González and Eugene J. OBrien (2013). "Dynamic Axle Force and Road Profile Identification Using a Moving Vehicle." International Journal of Architecture, Engineering and Construction, 2(1), 1-16.
Publisher: International Association for Sustainable Development and Management (IASDM)
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.
Keywords: Acceleration, dynamic axle forces, inverse dynamics, laboratory experiment, pavement roughness, vehicle-bridge interaction.
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