This paper investigates the possibility of using a coarse finite element model with bulk material properties, to model the vertical force-displacement characteristics of a tyre, for the purpose of tyre model parameterization. The paper proves the approach on a light truck off-road tyre. The practical application is intended, however, for very large tyres where physical testing is not feasible.The paper indicates that it is feasible to obtain bulk material properties from tensile tests on specimens cut from different positions on a tyre and to use these test results to parameterize suitable non-linear anisotropic material models. The non-linear elements defined in the Neo-Hookean and Ogden models, as well as elements with differing linear orthogonal stiffnesses, are combined with each other to simulate the global material properties of the tread and sidewall of the tyre.The global behaviour of the finite element model is analysed by comparing experimental and simulation data on a flat surface as well as various lateral and longitudinal cleats. The results confirm that the finite element model can predict with acceptable accuracy the vertical force vs. displacement, as well as the sidewall deformation of the tyre under static loading conditions on a flat surface and also on various different cleats, by using equivalent (global) material properties.The approach is accurate enough to be used in the parameterization of various tyre models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.