Numerical simulation of tire-pavement interaction for noise, safety, and rolling resistance
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Ding, Yangmin.
Numerical simulation of tire-pavement interaction for noise, safety, and rolling resistance. Retrieved from
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TitleNumerical simulation of tire-pavement interaction for noise, safety, and rolling resistance
Date Created2018
Other Date2018-10 (degree)
Extent1 online resource (xii, 147 pages : illustrations)
DescriptionPavement surface is constructed to provide smooth, safe, quiet, and comfortable driving, which plays an important role in traffic noise, wet weather crash, energy consumption and greenhouse gas (GHG) emission. The challenge of providing pavement with low noise, high friction, and less energy consumption requires systematic and accurate study of the tire-pavement interaction mechanism behind each functional requirement, as well as the methods that can be used to tackle the problem. The main objective of this research is to develop and validate numerical models for the above-mentioned tire-pavement interaction mechanisms and investigate the effect of different pavement surface characteristics on noise, safety, and rolling resistance.
Firstly, this study developed a coupled finite element and boundary element method (FEM/BEM) analysis approach for tire-pavement interaction noise simulation and quantified the influence of pavement surface characteristics on generation and propagation of tire vibration noise. Secondly, for safety analysis, this research evaluated hydroplaning risk and skid resistance of multi-lane roadways at different rainfall intensities and the effectiveness of porous friction course (PFC). An analysis framework and methodology was proposed to incorporate consideration of hydroplaning risk in roadway design. Finally, this study investigated tire rolling resistance from the perspective of pavement and quantified the impact of pavement stiffness on fuel consumption and CO2 emission.
This study concludes that the pavement surface type with higher texture levels generates greater noise for both porous and non-porous surfaces. The overall noise decreases with the increase of porosity under the same surface texture condition. In addition, the quantification of hydroplaning speed and braking distance using the developed model can help transportation agencies reduce wet-weather safety risk. The study findings can guide the project selection of PFCs at the locations having high hydroplaning risk. Finally, the rolling resistance analysis results indicated the difference of fuel consumption and CO2 emission affected by asphalt pavement layer thickness and pavement temperature are not significant as compared pavement type (flexible vs rigid). This finding suggested that optimal maintenance of roads with good surface characteristics, such as texture and roughness might be a better way to provide greater fuel economy.
NotePh.D.
NoteIncludes bibliographical references
Noteby Yangmin Ding
Genretheses, ETD doctoral
Languageeng
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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