Laplace distribution models for road topography and roughness
Artikel i vetenskaplig tidskrift, 2017

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.

topography

ISO spectrum

non-Gaussian process

road profile

international roughness index

IRI

generalised Laplace distribution

autoregressive process

power spectral density

road roughness

fatigue damage.

PSD

Författare

Pär Johannesson

Krzysztof Podgorski

Igor Rychlik

Chalmers, Matematiska vetenskaper

Göteborgs universitet

Int. J. Vehicle Performance

Vol. 3 3 224-258

Styrkeområden

Transport

Ämneskategorier

Matematik

Sannolikhetsteori och statistik

DOI

10.1504/IJVP.2017.085032

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Senast uppdaterat

2018-08-28