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.

ISO spectrum

fatigue damage.

topography

international roughness index

generalised Laplace distribution

road roughness

autoregressive process

IRI

PSD

road profile

power spectral density

non-Gaussian process

Författare

Pär Johannesson

Krzysztof Podgorski

Igor Rychlik

Göteborgs universitet

Chalmers, Matematiska vetenskaper

Int. J. Vehicle Performance

Vol. 3 224-258

Styrkeområden

Transport

Ämneskategorier

Matematik

Sannolikhetsteori och statistik