ABSTRACT

Skid resistance is a key factor in road safety. Surface friction characteristics of roads are dependent on the microtexture and macrotexture of the surface. The decay of skid resistance with time is a function of traffic level and aggregate characteristics. This study developed predictive models for skid resistance of asphalt pavements and seal coat surfaces. The researchers examined the surface friction characteristics of 35 asphalt pavement test sections and 35 seal coat test sections. The skid number was measured using a skid trailer, while the microtexture and macrotexture of the test sections were measured using a dynamic friction tester and a circular texture meter, respectively. The Aggregate Image Measurement System (AIMS) and Micro-Deval test were also used to evaluate the aggregate shape properties and its resistance to polishing and abrasion. The developed skid prediction models express the skid number over time as a function of aggregate gradation, aggregate resistance to abrasion and polishing, and traffic level. The models showed good correlations with skid numbers measured in the field. These models can be used to optimise the mix design to provide adequate level of friction and estimate the skid number of asphalt pavements and seal coat surfaces over time.

摘要

防滑性是道路安全的关键因素。道路的表面摩擦特性取决于表面的微观纹理和宏观纹理。防滑性随时间的衰减是交通水平和总体特征的函数。本研究开发了沥青路面和密封涂层表面的防滑性预测模型。研究人员检查了 35 个沥青路面试验段和 35 个密封涂层试验段的表面摩擦特性。滑轨数使用滑轨拖车测量，而测试部分的微观纹理和宏观纹理分别使用动态摩擦测试仪和圆形纹理仪测量。骨料图像测量系统 (AIMS) 和 Micro-Deval 测试也用于评估骨料的形状特性及其对抛光和磨损的抵抗力。开发的打滑预测模型表示随着时间的推移，打滑数量是骨料级配、骨料耐磨和抛光性以及交通水平的函数。这些模型显示出与现场测量的打滑数量的良好相关性。这些模型可用于优化混合设计，以提供足够的摩擦水平，并随着时间的推移估计沥青路面和密封涂层表面的打滑数量。