Skip to main content

MultiScale Material Science for Energy and Environment

Logo MultiScale Material Science

MultiScale Materials Science for Energy and Environment

  • Home
  • The Lab
  • People
  • Publications
  • News / Events
  • GDRI
  • Home
  • The Lab
    • The Lab
    • Research
    • Education
    • Amazing People
    • Contact
  • People
  • Publications
  • News / Events
    • News
    • Seminars
    • Conferences
    • Winter School
  • GDRI
    • Presentation

Roughness-Induced Vehicle Energy Dissipation: Statistical Analysis and Scaling

TitleRoughness-Induced Vehicle Energy Dissipation: Statistical Analysis and Scaling
Publication TypeJournal Article
Year of Publication2015
AuthorsLouhghalam A, Tootkaboni M, Ulm F-J
JournalJournal of Engineering Mechanics
Volume141
Issue11
PaginationNumber: 04015046
Date PublishedNov-2015
ISSN0733-9399
Abstract

The energy dissipated in a vehicle suspension system due to road roughness affects rolling resistance and the resulting fuel consumption and greenhouse gas emission. The key parameters driving this dissipation mechanism are identified via dimensional analysis. A mechanistic model is proposed that relates vehicle dynamic properties and road roughness statistics to vehicle dissipated energy and thus fuel consumption. A scaling relationship between the dissipated energy and the most commonly used road roughness index, the International Roughness Index (IRI), is also established. It is shown that the dissipated energy scales with IRI squared and scaling of dissipation with vehicle speed V depends on road waviness number w in the form of Vw−2. The effect of marginal probability distribution of the road roughness profile on dissipated energy is examined. It is shown that although the marginal distribution of the road profile does not affect the identified scaling relationships, the multiplicative factor in these relationships does change from one distribution to another. As an example of practical application, the model is calibrated with the empirical HDM-4 model for different vehicle classes.

DOI10.1061/(ASCE)EM.1943-7889.0000944
Short TitleJ. Eng. Mech.
  • DOI
  • BibTex
  • RIS

Login using Touchstone
  • MIT
  • CNRS
  • INVESTISSEMENT D'AVENIR
  • CINAM
  • MITEI
  • AMU