Citation

Tang T, Anupam K, Kasbergen C, Kogbara R, Scarpas A, Masad E. Transp. Res. Rec. 2018; 2672(40): 382-394.

Affiliation

Section of Road Engineering, Faculty of Civil Engineering & Geosciences, Delft University of Technology, Delft, The Netherlands 2Mechanical Engineering Program, Texas A&M University at Qatar, Education City, Doha, Qatar 3Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates 4Zachry Department of Civil Engineering, Texas A&M University, College Station, TX Corresponding Author: Address correspondence to Tianchi Tang: t.tang@tudelft.nl This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).

Copyright

(Copyright © 2018, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

10.1177/0361198118796728

PMID

unavailable

Abstract

The skid resistance of a pavement surface is an important characteristic that influences traffic safety. Previous studies have shown that skid resistance varies with temperature. However, relatively limited work has been carried out to study the effect of temperature on skid resistance in hot climates. Recent developments in computing and computational methods have encouraged researchers to analyze the mechanics of the tire-pavement interaction phenomenon. The aim of this paper is to develop a thermo-mechanical tire pavement interaction model that would allow more robust and realistic modeling of skid resistance using the Finite Element (FE) method. The results of this model were validated using field tests that were performed in the State of Qatar. Consequently, the validated FE model was used to quantify the effect of factors such as speed, inflation pressure, wheel load, and ambient temperature on the skid resistance/braking distance. The developed model and analysis methods are expected to be valuable for road engineers to evaluate the skid resistance and braking distance for pavement management and performance prediction purposes.

Language: en