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Numerical and experimental predictions of texture-related influences on rolling resistance

Mansura, Dmytro A.; Thom, Nicholas H.; Beckedahl, Hartmut J.


Dmytro A. Mansura

Assistant Professor

Hartmut J. Beckedahl


To overcome rolling resistance (RR) a typical vehicle on average consumes 4152 MJ/119 L of fuel annually as a result of both
vehicle and pavement factors. A slight improvement in surface texture arrangement may therefore decrease fuel consumption
bringing substantial long-term socio-economic benefits. This aligns with ever-tighter limits on CO2 in the USA (163 g/km until 2025) fostering sustainable construction/exploitation of tires/pavements. This paper describes a multi-scale 3-D numerical methodology to calculate micro-distortional RR and contact indentations of surface aggregates into visco-elastic tread compound accounting for loading, velocity, temperature, and compound properties. It consists of a micro-scale tread block single aggregate model and a macro-scale car tire finite element model, rolling in steady-state mode over a rigid smooth surface. The surface texture is idealized in terms of hemispherical indenters. The micro-distortional RR estimates are based on contact force and energy lost per single stone. The computed contact/normal forces peak significantly due to visco-elastic effects at the beginning of the tire–surface contact phase, followed by a gradually relaxing stress region with a sudden release at the end of the interaction. The contact forces appear to be of a reasonable distribution and magnitude. It is found that microdistortional RR is higher on a rougher and sparsely packed surface compared with a smoother and more tightly packed case. To determine the total tire-related RR, macro-distortional RR can then be added. The predictions were qualitatively confirmed and adjusted against real bituminous mixes by experimental testing, showing a reasonable agreement.


Mansura, D. A., Thom, N. H., & Beckedahl, H. J. (2018). Numerical and experimental predictions of texture-related influences on rolling resistance. Transportation Research Record, doi:10.1177/0361198118776114

Journal Article Type Article
Acceptance Date Nov 1, 2017
Online Publication Date May 30, 2018
Publication Date May 30, 2018
Deposit Date Jan 31, 2019
Publicly Available Date Feb 1, 2019
Publisher SAGE Publications (UK and US)
Peer Reviewed Peer Reviewed
Public URL
Publisher URL


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