Modelling and prediction of tyre–snow interaction using finite element analysis–smoothed particle hydrodynamics techniques

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.