Abstract
A large number of indoor or outdoor tests show that porous asphalt mixtures have excellent noise reduction performance, but it is difficult for the measured data to analyze the influence of single factor changes on sound absorption performance. This paper adopted Virtual.lab finite element software to study the influence of porosity, thickness, viscosity characteristic length, and thermal effect characteristic length on the sound absorption coefficient of porous asphalt mixtures via numerical simulation, and analyzed the main influencing factors of the sound absorption coefficient of asphalt mixtures based on grey correlation theory. The results reveal that the numerical simulation model has high reliability. As the thickness, porosity, and viscous characteristic length increase, the sound absorption coefficient shows a trend of increasing, increasing, and gradually decreasing respectively. However, the thermal effect characteristic constant has little effect on the sound absorption coefficient, with the influence degree in the order of porosity>thickness>viscous characteristic length>thermal effect characteristic length. Under the premise of ensuring the road performance, it is advisable to prioritize the porosity increase to improve the sound absorption performance of asphalt mixtures.
Publication Date
11-8-2022
DOI
10.14048/j.issn.1671-2579.2022.05.011
First Page
61
Last Page
65
Submission Date
April 2025
Recommended Citation
Honglin, He; Xiaoling, Zou; Xiangqian, Ye; and Tao, Zeng
(2022)
"Study on Influencing Factors of Noise Reduction Performance of Porous Asphalt Concrete Pavement,"
Journal of China & Foreign Highway: Vol. 42:
Iss.
5, Article 11.
DOI: 10.14048/j.issn.1671-2579.2022.05.011
Available at:
https://zwgl1980.csust.edu.cn/journal/vol42/iss5/11
Reference
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