Finite Element Studies of Skid Resistance under Hot Weather Condition

Journal Article (2018)
Author(s)

Tianchi Tang (TU Delft - Civil Engineering & Geosciences)

Kumar Anupam (TU Delft - Civil Engineering & Geosciences)

Cor Kasbergen (TU Delft - Civil Engineering & Geosciences)

Reginald Kogbara (Texas A&M University at Qatar)

Athanasios Scarpas (Petroleum Institute, TU Delft - Civil Engineering & Geosciences)

Eyad Masad (Texas A&M University at Qatar, Texas A&M University)

Research Group
Pavement Engineering
DOI related publication
https://doi.org/10.1177/0361198118796728 Final published version
More Info
expand_more
Publication Year
2018
Language
English
Research Group
Pavement Engineering
Issue number
5
Volume number
19
Pages (from-to)
1436-1447
Downloads counter
257
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.