Road profile statistics relevant for vehicle fatigue

Research output: ThesisDoctoral Thesis (compilation)

Abstract

Road profiles are studied from a vehicle fatigue point of view. A wide range of roads have been measured: from smooth motorways to very rough gravel roads. It is observed that the road profiles consist of irregular sections, which makes the stationary Gaussian model unsuitable (Paper A). In Paper B, a method for automatic identification of such irregularities is presented. It is verified that the irregular sections cause the major part of the fatigue damage induced in vehicles. Based on this result, a new single track model is proposed, which includes randomly shaped and located irregularities. In Paper C, an evaluation method of single track models is proposed. This evaluation method is extended to models of parallel tracks in Paper D. A new "parallel tracks" model is proposed and evaluated accordingly. In Paper E, the coherence between the parallel road tracks is studied. A simple one-parametric model is proposed for the coherence. In Paper F a new theoretical method to compute the expected vehicle fatigue damage caused by road irregularities is presented.

Details

Authors
  • Klas Bogsjö
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • operations research, Statistics, Matematik, Mathematics, model evaluation, vehicle fatigue, stochastic processes, road roughness, Road profiles, programming, actuarial mathematics, Statistik, operationsanalys, programmering, aktuariematematik
Original languageEnglish
QualificationDoctor
Awarding Institution
Supervisors/Assistant supervisor
  • Igor Rychlik, Supervisor
Award date2007 Nov 16
Publisher
  • Mathematical Statistics, Centre for Mathematical Sciences, Lund University
Print ISBNs978-91-628-7291
Publication statusPublished - 2007
Publication categoryResearch

Bibliographic note

Defence details Date: 2007-11-16 Time: 10:15 Place: Room MH:A, Matematikcentrum, Sölvegatan 18, Lund University Faculty of Engineering External reviewer(s) Name: Naess, Arvid Title: Professor Affiliation: Norges teknisk-naturvitenskaplige universitet, Trondheim, Norge ---

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