Laplace distribution models for road topography and roughness

• Gaussian models are frequently used for road elevations. However,these models are often only valid for short sections of the road. Here we presenta comprehensive approach to describe various aspects of road surface/elevationby using extensions of Gaussian models arising from random gamma distributedvariances. These random variances result in the Laplace distribution and thuswe refer to the so defined models as Laplace models. The approach is shownto perform well in modelling road topography, road roughness and multi-valuedresponses of forces and bending moments containing transients. The differentLaplace models are presented together with numerical examples and Matlab codefor simulation.

Ämnesord

NATURVETENSKAP  -- Matematik (hsv//swe)

NATURAL SCIENCES  -- Mathematics (hsv//eng)

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Maskinteknik -- Farkostteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)

Nyckelord

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

road profile

topography

road roughness

generalised Laplace distribution

non-Gaussian process

autoregressive process

PSD

power spectral density

ISO spectrum

IRI

international roughness index

fatigue damage

road profile; topography; road roughness; generalised Laplace distribution; non-Gaussian process; autoregressive process; PSD; power spectral density; ISO spectrum; IRI; international roughness index; fatigue damage

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