Experimental investigation on wear behavior of asphalt pavement based on three-dimensional surface texture scan technology

Abstract

Functional-based failure assessment and design for the service life of pavements have gained significant attention, particularly concerning wear behavior. The long-term wear characteristics of asphalt pavements are influenced by various factors and can be simulated as surface texture wear. This study employs two different indoor accelerated loading abrasion devices to investigate the effects of temperature, load, mixture type, and number of abrasion cycles on asphalt pavement wear. Surface textures of asphalt pavements were captured using a structured laser light camera, and gray & depth data were collected at the same time. Texture indicators including estimated mean texture depth (EMTD), fractal dimension (FD), and optimized structure similarity index measure (SSIM) are utilized to assess changes in surface texture. Key observations based on the small abrasion simulation equipment include the need for specific acceleration conditions in low-temperature abrasion tests, the elimination of deformation effects for high-temperature wear analysis, and a three-stage wear trend, which is more pronounced under the heavy load condition (100 kg) with no unusual fluctuations. EMTD can be used to effectively distinguish textural differences between mixtures, while SSIM shows a good trend of wear for specific mix types. Long-term lead test with MLS-11 and higher data collection frequency has verified the regularity of EMTD and SSIM, and the three stages of the asphalt mixture wear. The BPN test results are used to cross-check the failure of the skid resistance function corresponding to the wear behavior.