Evaluation of the Functional Performance of Paving Materials Based on the Driving Wheel Pavement Analyzer

Abstract

There is still a lack of suitable methods for evaluating pavement functional performance according to the characteristics of real-world environment and traffic. This study developed an acceleration test method based on the Driving Wheel Pavement Analyser (DWPA) to evaluate the anti-sliding properties, anti-stripping properties, and tire–pavement noise of AC-13, SMA-13, and OGFC-13 asphalt mixtures, and MS-1, MS-2, and MS-3 micro-surfacing materials. The results indicate that the OGFC-13 mixture exhibited the largest texture depth, and the SMA-13 mixture exhibited the largest British pendulum number (BPN) at the end of the test. The MS-3 material had the best anti-sliding performance among the micro-surfacing materials. Coarse gradation improved the anti-stripping performance of the micro-surfacing materials. The tire–pavement noise for all materials increased with the increase of wheel repetitions. The OGFC-13 mixture and MS-3 micro-surfacing material exhibited the best and worse noise reduction performance, respectively. The new measurement method for evaluating the pavement surface functional performance was proved to be efficient.

Study of long‐term skid and wear resistance of waterborne epoxy resin‐SBRcompound modified emulsified asphalt microsurfacing

“…Yin et al 26 improved the water boiling method, cohesion growth test, and Marshall test to simulate the natural environment of the tunnel, based on which the performance of waterborne epoxy resin‐emulsified asphalt was tested. Cai et al 27,28 and Sun et al 29 evaluated the effects of various internal factors on the pavement surface function of MS using the “tire‐driven pavement functional accelerated loading test system.” The tester is equipped with functions to adjust temperature, humidity, simulate UV aging, and rainfall conditions. There is also no lack of research to obtain the long‐term skid resistance performance of MS through field studies and physical engineering testing.…”

Optimization Model of Network‐Level Pavement Maintenance Decision considering User Travel Time and Vehicle Fuel Consumption Costs

“…Based on the obtained analysis and evaluation results, the pavement performance can be estimated and the detailed maintenance strategies for the pavement can be planned [2]. e pavement performance evaluation is usually carried out in two aspects, namely, pavement structural and functional evaluations [3,4].…”