A generalized local wear model for tire rubber: Validation across LAT100 and Lambourn platforms

Tire wear prediction remains a major challenge due to the complex mechanism at the tread–road interface. Although numerous local wear models have been proposed, most neglect the critical influence of frictional heating, and few are systematically validated across different test platforms. In this study, we introduce a modified power-exponent wear model that incorporates sliding velocity and frictional stress to implicitly account for thermal effects, thereby improving predictive accuracy without increasing computational cost. The model is validated using extensive experimental data from both LAT100 (lateral sliding) and Lambourn (longitudinal sliding) testers, covering three rubber compounds under varied load, velocity, and slip conditions. Results demonstrate that the proposed model achieves strong fitting performance for either time- and distance-based wear rates, outperforming or matching established models while using fewer parameters.