Road Roughness Evaluation by Curve-Fitting and Subspace-Identification Methods
Publication: Journal of Transportation Engineering
Volume 142, Issue 11
Abstract
In this paper, for a quarter-car model, root-mean square response variables are calculated for roads classified by the international standard organization, based on the straight-line spectrum models. Covariance expressions are derived for vehicle response variables assuming that the road spectrum is that of a Motor Industry Research Association (MIRA) spectrum and compared with the existing results in the literature. The international standard and the MIRA spectra are then compared with the models delivered by high resolution frequency-domain subspace identification algorithms. The IRI statistic of the quarter-car response is calculated for the road models built by the curve fitting and the identification methods from the measured road spectrum assuming that the road excitation is a zero-mean Gaussian process
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Acknowledgments
This work was supported by the Scientific & Technological Research Council of Turkey under Grant 112E264.
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Information & Authors
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Published In
Journal of Transportation Engineering
Volume 142 • Issue 11 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Aug 5, 2015
Accepted: Mar 21, 2016
Published online: Jun 22, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 22, 2016
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