Abstract
The pavement skid resistance performance index is one of the most important indexes to ensure driving safety. Based on the test data of RIOHTrack full-scale track, this paper analyzes the decay law of pavement skid resistance performance, including the sideway force coefficient (SFC), British pendulum number (BPN), mean texture depth measured by sand patch method (MTD) and sensor measured texture depth by laser method (SMTD), under different equivalent single axle load times (ESALs). The paper analyzes the influence of different methods and conditions on the different indicators and excavates the internal correlation of different pavement skid resistance performance indexes, aiming to improve the effectiveness and accuracy of pavement skid resistance performance detection. The shortcomings of the temperature correction method of BPN and SFC are verified, which cannot correct the skid resistance performance effectively in different temperatures. Based on the assumption that there is a sensitive range of temperature influence on skid resistance performance, a new temperature correction method of skid resistance performance index is proposed based on the Boltzmann model and equivalent temperature of the asphalt surface layer. It can truly reflect the decay law of skid resistance pavement performance. At the same time, the internal correlation between BPN and MTD indicators is analyzed. It is found that there is a linear growth law between two indexes whose correlation coefficient is 0.999, which provides a reference for the research of pavement skid resistance performance.
Highlights
Pavement texture depth, driving speed and environment are the main factors affecting the skid resistance performance of asphalt pavement
Ahammed et al (2010) adopted British pendulum number (BPN) of both Portland cement concrete (PCC) and asphalt concrete (AC) pavements, which were measured bi-weekly or monthly to determine the effect of short-term weather changes on skid resistance variation
Through the analysis of the test data of different pavement structures, it is found that the temperature correction method of the pavement skid resistance performance index has shortcomings in the existing specifications, which cannot effectively correct the skid resistance performance under different temperatures
Summary
Pavement texture depth, driving speed and environment are the main factors affecting the skid resistance performance of asphalt pavement. Ahammed et al (2010) adopted British pendulum number (BPN) of both Portland cement concrete (PCC) and asphalt concrete (AC) pavements, which were measured bi-weekly or monthly to determine the effect of short-term weather changes on skid resistance variation It shows that available friction fluctuates at 0.35 BPN per 1 ◦ C change in prevailing ambient or pavement surface temperature, with an overall eight BPN seasonal fluctuation [4]. Through the analysis of the test data of different pavement structures, it is found that the temperature correction method of the pavement skid resistance performance index (including BPN and SFC) has shortcomings in the existing specifications, which cannot effectively correct the skid resistance performance under different temperatures. The internal correlation of different pavement skid resistance performance indexes is deeply analyzed to simplify the detection process of skid resistance performance, which can improve the effectiveness and accuracy of pavement detection, guide the best time of pavement maintenance, save the cost of pavement maintenance and improve the safety of highway driving
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