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Laplace distribution models for road topography and roughness
RISE - Research Institutes of Sweden. (Safety, Mechanics Research)ORCID iD: 0000-0002-6730-0214
Lunds University, Lund, Sweden.
Chalmers University of Technology, Gothenburg, Sweden.
2017 (English)In: Int. J. Vehicle Performance, Vol. 3, no 3, 224-258 p.Article in journal (Refereed) Published
Abstract [en]

Gaussian models are frequently used for road elevations. However, these models are often only valid for short sections of the road. Here we present a comprehensive approach to describe various aspects of road surface/elevation by using extensions of Gaussian models arising from random gamma distributed variances. These random variances result in the Laplace distribution and thus we refer to the so defined models as Laplace models. The approach is shown to perform well in modelling road topography, road roughness and multi-valued responses of forces and bending moments containing transients. The different Laplace models are presented together with numerical examples and Matlab code for simulation.

Place, publisher, year, edition, pages
2017. Vol. 3, no 3, 224-258 p.
Keyword [en]
road profile; topography; road roughness; generalised Laplacedistribution; non-Gaussian process; autoregressive process; PSD; power spectral density; ISO spectrum; IRI; international roughness index; fatigue damage.
National Category
Probability Theory and Statistics Vehicle Engineering Natural Sciences Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-29420DOI: 10.1504/IJVP.2017.10004895OAI: oai:DiVA.org:ri-29420DiVA: diva2:1092261
Available from: 2017-05-02 Created: 2017-05-02 Last updated: 2017-08-16Bibliographically approved

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