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Evaluation of Siltation Degree of Permeable Asphalt Pavement and Detection of Noise Reduction Degree.

Authors :
Chen, Shuang
Lin, Xuechun
Zheng, Chuanfeng
Guo, Xuedong
Chen, Wuxing
Source :
Applied Sciences (2076-3417); Jan2021, Vol. 11 Issue 1, p349, 18p
Publication Year :
2021

Abstract

Featured Application: This study proposes a method for evaluating the siltation of permeable pavement, and it is concluded that the road noise is proportional to the degree of siltation of permeable pavement. This study mainly uses PFC (particle follow code) to simulate the void characteristics of permeable asphalt mixture, and uses these to simulate the silting process. Then, a tire drop test was used to evaluate the noise reduction performance of permeable asphalt concrete. Finally, a self-made ring rutting test machine was used to simulate the silting process. Through experiments, the following conclusions were obtained: 1. The critical size of the sludge particle size is 0.3 mm–0.6 mm. 2. The quality of the water-permeable asphalt concrete specimens increased by 13% before and after silting, and the porosity of the specimens finally decreased from about 20% to about 8%. The water-permeable function only retained less than 20% of the original, and the water-permeable function was basically lost. 3. By measuring the road noise detection, it was found that the road noise is directly proportional to the degree of blockage of the permeable road. Compared with the original road with a perfect permeable function, the road noise of the completely blocked road increased by about 4 decibels. This study reveals the silting process of permeable asphalt mixture and the key particle size of the silt, which is of great significance for the detection, cleaning and maintenance of permeable asphalt pavements. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
148066117
Full Text :
https://doi.org/10.3390/app11010349