Assessments on Simplified Solution Procedures for Asphalt Pavements Under Multi-wheel Loads Within the ILLIPAVE Axisymmetric Nonlinear FEM Framework
摘要
The axisymmetric nonlinear finite element program ILLIPAVE incorporates two simplified solution procedures to account for the effects of multi-wheel loads, namely “ILLIPAVE+Superposition” and “ILLIPAVE + ELP”. To thoroughly reveal the accuracy and applicability of these two simplified procedures, this study begins with a comprehensive summary and comparison of their underlying principles and characteristics. Subsequently, a special loading condition involving fully overlapping dual-wheel loads is ingeniously designed to transform the three-dimensional multi-wheel problem into an equivalent axisymmetric problem, thereby obtaining benchmark solutions. Through a specific case study, the differences in key mechanical responses—such as pavement surface deflection, tensile strain at the bottom of the asphalt surface layer, and vertical compressive strain on the subgrade surface—calculated by the two simplified procedures are compared against the benchmark solutions. Furthermore, the influence patterns of variations in the number of wheels and the wheel load magnitude on the resulting errors are discussed. The results indicate that: (1) The mechanical responses obtained from both simplified procedures exhibit trends consistent with the benchmark solutions. Among them, the “ILLIPAVE+Superposition” procedure aligns more closely with the benchmark overall. Its moderate overestimation of pavement surface deflection and tensile strain at the bottom of the asphalt layer is conducive to a more conservative pavement design. (2) When the number of dual wheels remains constant while the wheel load (i.e., the contact pressure intensity) increases, the errors between the results calculated using the simplified procedures and the benchmark results show little significant change. Compared to the influence of the number of wheels, the wheel load magnitude exerts a comparatively lesser impact on the result errors.