Abstract:

Elucidating the interrelationship between pavement and tire factors and skid resistance is of significant importance for reducing traffic accident rates caused by insufficient pavement skid resistance. Three-dimensional point cloud data and corresponding coefficients of adhesion from 100 actual grooved cement concrete pavement test points were obtained through field standard testing, and after horizontal correction and noise reduction processing, inverse modeling is performed to establish a pavement model that retains road texture. Subsequently, a tire-pavement model is assembled in ABAQUS. Finally, the effectiveness of the model is verified by comparing the finite element back-analysis values with the experimental measurement values, and the impact of road texture, tire pressure, and speed on pavement skid resistance is analyzed. The results indicate that as the density of road surface peak points (S_pd) increases, the adhesion coefficient shows an upward trend at both high and low speeds, with a more significant influence at low speeds; with the rise of tire pressure, the adhesion coefficient at each test point exhibits a relatively consistent downward trend, with no significant difference in the magnitude of the decrease. Compared to speed, the impact of tire pressure on the adhesion coefficient is less significant; as speed increases, the road adhesion coefficient tends to a stable value determined by the macrotexture of the road surface, while the influence of speed itself on the adhesion coefficient is relatively limited.

Key words: road engineering, cement concrete pavement, skid resistance, adhesion coefficient, finite element simulation