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Mechanism to Quantify Road Surface Degradation and Its Impact on Rolling Resistance

Caicedo Parra, Dina Maria
http://rave.ohiolink.edu/etdc/view?acc_num=osu1555430578466857

Abstract Details

2019, Master of Science, Ohio State University, Mechanical Engineering.
To measure the exact fuel consumption of a vehicle, it is essential to determine the total road load being imparted on it. One of the main methods to calculate road load is by performing a coast-down test. In order to get accurate results, there must be an understanding of the impact that each component has on the vehicle/tire. Rolling resistance is one of the primary forces acting against the motion of the vehicle. The major factors that contribute to rolling resistance losses are tire design and operation, ambient conditions and road design. Current standards tend to assume that the impact of a specific road surface in a coast-down test is a constant parameter. However, after performing multiple coast-down tests in the same track, this will cause the road surface texture to degrade. Even with a small degradation, this will possibly affect the results since the rolling resistance coefficient is increasing as well as the road load affecting the vehicle. This thesis provides a framework for road surface degradation due to coast-down testing during a span of one and a half years. First, an overview of road surface texture and its impact on fuel consumption is introduced. Surface texture is composed by 4 wavelengths, each one affecting in different ways the vehicle/tire interaction. This thesis focuses on the two smallest wavelengths -macrotexture and microtexture. Advantages and disadvantages of different methods for measuring road surface are discussed. Then, experimental data was collected with an optical profilometer in a coast-down track before and after it was repaved. This thesis aims to quantify the degradation that each wavelength experienced and to analyze the data as thorough as possible. Also, additional measurements were collected to study the impact of weather effect in the long run. By assuming a linear degradation, a mathematical model is developed to estimate the surface texture value. With more tight fuel consumption and emission regulations, it is important for automakers to account or model the change in surface texture that impacts coast-down tests and potentially would also impact fuel consumption.
Giorgio Rizzoni (Advisor)
108 p.
Mechanical Engineering
rolling resistance; macrotexure; microtexutre; road surface texture

Recommended Citations

Citations

  • Caicedo Parra, D. M. (2019). Mechanism to Quantify Road Surface Degradation and Its Impact on Rolling Resistance [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555430578466857

    APA Style (7th edition)

  • Caicedo Parra, Dina. Mechanism to Quantify Road Surface Degradation and Its Impact on Rolling Resistance. 2019. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1555430578466857.

    MLA Style (8th edition)

  • Caicedo Parra, Dina. "Mechanism to Quantify Road Surface Degradation and Its Impact on Rolling Resistance." Master's thesis, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555430578466857

    Chicago Manual of Style (17th edition)

osu1555430578466857
553
© 2019, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.