Study on the Noise Reduction Characteristics of Porous Elastic Road Surface Based on Finite Element Analysis and Noise Field Tests

In order to study the noise reduction performance of Porous Elastic Road Surface (PERS), the vibration noise and air pumping noise has been separated from the tire-road noise through the finite element numerical simulation method. The tire-road noise model among the tire, road and surface air has been constructed by coupling of acoustic waves. The characteristics of tire-road noise under the PERS, Porous Asphalt Concrete (PAC), and Asphalt Concrete (AC) pavements have been analyzed through the modelling. The tire-road noise has also been investigated through the noise field tests. The generating process, coupling characteristics, and noise reduction performance of the vibration noise and the pumping noise of PERS pavements has been revealed. The results show that the tire-road noise was mainly generated by the vibration noise under the vehicle speed below 80 km/h. The proportion of pumping noise gradually exceeds that of vibration noise under the vehicle speed greater than 90 km/h. And the pumping noise gradually played the major role in the tire-road noise, which also increased with the increasing of vehicle speed. Comparing with AC and PAC pavements, PERS pavement exhibited the obvious advantages in noise reduction. Additionally, the reliability of the tire-road noise model has been verified through the field noise tests. It is expected that this work will serve as a reference for future research on the mechanics of the generation of tire-road noise, and try to provided theoretical support for the application of PERS.

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Publication Details

Journal
Materials
Published
2026-04-15
DOI
https://doi.org/10.3390/ma19081593
Primary Topic
Railway Engineering and Dynamics
Type
article
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article

Study on the Noise Reduction Characteristics of Porous Elastic Road Surface Based on Finite Element Analysis and Noise Field Tests

Bin Lan, Hongjin Liu, Ke Zhong, Jinquan Zhang et al.
Materials
Railway Engineering and Dynamics
article

Study on the Noise Reduction Characteristics of Porous Elastic Road Surface Based on Finite Element Analysis and Noise Field Tests

Bin Lan, Hongjin Liu, Ke Zhong, Jinquan Zhang, Xin Xu, Changhong Wang, Qi Wang, Zhendong Qian
article en

Abstract

In order to study the noise reduction performance of Porous Elastic Road Surface (PERS), the vibration noise and air pumping noise has been separated from the tire-road noise through the finite element numerical simulation method. The tire-road noise model among the tire, road and surface air has been constructed by coupling of acoustic waves. The characteristics of tire-road noise under the PERS, Porous Asphalt Concrete (PAC), and Asphalt Concrete (AC) pavements have been analyzed through the modelling. The tire-road noise has also been investigated through the noise field tests. The generating process, coupling characteristics, and noise reduction performance of the vibration noise and the pumping noise of PERS pavements has been revealed. The results show that the tire-road noise was mainly generated by the vibration noise under the vehicle speed below 80 km/h. The proportion of pumping noise gradually exceeds that of vibration noise under the vehicle speed greater than 90 km/h. And the pumping noise gradually played the major role in the tire-road noise, which also increased with the increasing of vehicle speed. Comparing with AC and PAC pavements, PERS pavement exhibited the obvious advantages in noise reduction. Additionally, the reliability of the tire-road noise model has been verified through the field noise tests. It is expected that this work will serve as a reference for future research on the mechanics of the generation of tire-road noise, and try to provided theoretical support for the application of PERS.

MaterialsVol. 19(8)
Beijing Transportation Research Center (CN), Ministry of Transport (CN), Asphalt Institute (US), Research Institute of Highway (CN), Southeast University (CN), Taizhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 23%
Railway Engineering and Dynamics
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