@article{ref1,
title="Modelling and prediction of tyre-snow interaction using finite element analysis-smoothed particle hydrodynamics techniques",
journal="Proceedings of the Institution of Mechanical Engineers, Part D: Journal of automobile engineering",
year="2019",
author="El-Sayegh, Zeinab and El-Gindy, Moustafa",
volume="233",
number="7",
pages="1783-1792",
abstract="This paper focuses on the modelling and prediction of truck tyre-snow interaction to compute tyre motion resistance coefficient. The off-road truck tyre size 315/80R22.5 is modelled using finite element analysis and validated in static and dynamic response against published measured data. The snow is modelled using smoothed particle hydrodynamics technique and hydrodynamic-elastic-plastic material and then calibrated against physical measurements provided by published terramechanics data. The contact algorithm implemented is the node-symmetric node-to-segment contact with edge treatment. The rolling resistance coefficient is also known as the motion resistance coefficient of the truck tyre-snow interaction and is computed for several operating conditions including the vertical load, inflation pressure, tyre longitudinal speed, and snow depth. The influence of the above-mentioned operating conditions on the truck tyre motion resistance coefficient is examined and discussed.<p /> <p>Language: en</p>",
language="en",
issn="0954-4070",
doi="10.1177/0954407018788997",
url="http://dx.doi.org/10.1177/0954407018788997"
}