Hybrid Computational Tire-Sand Interaction: A Tractive Effort and Rolling Resistance Analysis

2026-01-0213

4/7/2026

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Abstract
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This paper investigates the performance of a computational radial passenger car tire over winter road sand at different operating conditions. This study seeks to address gaps in literature by using both an experimental direct shear-strength test and then validating the same test in a Finite Element Analysis (FEA) software called Virtual Performance Solution (VPS) using a Smoothed-Particle Hydrodynamic (SPH) technique to model a winter road sand. The simulated sand was measured against physical sand data ensuring validation of the density, internal friction angle and cohesion. Once the sand was validated against physical testing data the sand was layered atop an icy road surface to understand the influence sand has on tractive effort and rolling resistance performance. With modelled and validated winter road sand and a Continental CrossContact LX Sport tire size 235/55R19 testing conditions were set up. The tire-sand interaction was simulated using a node-to-segment contact algorithm with edge treatment on a low friction surface for both the tire-road and the sand-road contact. Using testing conditions of 57 mm, 114 mm and 170 mm sand depth at 10 km/h, 50 km/h and 100 km/h and at 3.5 kN, 5 kN and 8 kN loading on a low coefficient of friction rigid road surface the tractive effort and rolling resistance were computed and analyzed. The goal of this research is to understand the influence abrasives, such as sand, have on the tractive effort and rolling resistance of vehicle tires in winter conditions. By understanding the tire-sand interaction this paper provides information on which operating condition is best suited to manage icy road conditions without compromising the environment.
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Citation
Fenton, E. and El-Sayegh, Z., "Hybrid Computational Tire-Sand Interaction: A Tractive Effort and Rolling Resistance Analysis," WCX SAE World Congress Experience, Detroit, Michigan, United States, April 14, 2026, https://doi.org/10.4271/2026-01-0213.
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Published
Apr 07
Product Code
2026-01-0213
Content Type
Technical Paper
Language
English