Study on Influencing Factors and Spectrum Characteristics of Tire/Road Noise of RIOHTrack Full-Scale Test Road Based on CPXT Method

In order to investigate the influence of different tire textures, pavement types, and vehicle parameters on the tire/road noise level and its spectrum characteristics, 19 kinds of asphalt pavement main structures of RIOHTrack full-scale test track were tested by the close-proximity trailer (CPXT) tire/road noise detection method. Considering investigated parameters such as tire texture, vehicle speed, and trailer axle weight, and relying on multi-functional road condition rapid detection vehicle and laboratory tests to collect a variety of road surface information and material parameters, a multiple-linear-regression model of tire/road surface noise level of RIOHTrack (Research Institute of Highway Full-scale Test Track) asphalt pavement was constructed. Finally, the causes of noise level differences among different influencing factors were further analyzed through spectrum characteristics. The results show that vehicle speed is the most important factor affecting tire/road noise. The noise level of different tires varies due to different textures, but the noise level among different trailer axle weights is roughly the same. Vehicle speed (v), FWD center deflection (D0), surface asphalt mixture air voids (VV), sensor-measured texture depth (SMTD) and international roughness index (IRI) were selected to establish the noise prediction models of different tire textures. Noise spectrum analysis shows that the spectrum of different vehicle speeds is significantly wide in the full frequency range, and the spectrum variation of differently textured tires is mainly concentrated in a certain range of the peak frequency. The noise spectrum curve of porous asphalt concrete (PAC13) is significantly lower than that of other asphalt mixtures in the full frequency range above 800Hz, indicating a greater noise reduction effect.

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Publication Details

Journal
Applied Sciences
Published
2025-09-04
DOI
https://doi.org/10.3390/app15179741
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on Influencing Factors and Spectrum Characteristics of Tire/Road Noise of RIOHTrack Full-Scale Test Road Based on CPXT Method

Liuxiao Chen, Zejiao Dong, Xudong Wang, Guang Yang
Applied Sciences
Noise Effects and Management
article

Study on Influencing Factors and Spectrum Characteristics of Tire/Road Noise of RIOHTrack Full-Scale Test Road Based on CPXT Method

Liuxiao Chen, Zejiao Dong, Xudong Wang, Guang Yang
article en

Abstract

In order to investigate the influence of different tire textures, pavement types, and vehicle parameters on the tire/road noise level and its spectrum characteristics, 19 kinds of asphalt pavement main structures of RIOHTrack full-scale test track were tested by the close-proximity trailer (CPXT) tire/road noise detection method. Considering investigated parameters such as tire texture, vehicle speed, and trailer axle weight, and relying on multi-functional road condition rapid detection vehicle and laboratory tests to collect a variety of road surface information and material parameters, a multiple-linear-regression model of tire/road surface noise level of RIOHTrack (Research Institute of Highway Full-scale Test Track) asphalt pavement was constructed. Finally, the causes of noise level differences among different influencing factors were further analyzed through spectrum characteristics. The results show that vehicle speed is the most important factor affecting tire/road noise. The noise level of different tires varies due to different textures, but the noise level among different trailer axle weights is roughly the same. Vehicle speed (v), FWD center deflection (D0), surface asphalt mixture air voids (VV), sensor-measured texture depth (SMTD) and international roughness index (IRI) were selected to establish the noise prediction models of different tire textures. Noise spectrum analysis shows that the spectrum of different vehicle speeds is significantly wide in the full frequency range, and the spectrum variation of differently textured tires is mainly concentrated in a certain range of the peak frequency. The noise spectrum curve of porous asphalt concrete (PAC13) is significantly lower than that of other asphalt mixtures in the full frequency range above 800Hz, indicating a greater noise reduction effect.

Applied SciencesVol. 15(17)
Southwest University of Science and Technology (CN), Harbin Institute of Technology (CN), Beijing Guodaotong Highway Design & Research Institute (China) (CN), Ministry of Transport (CN), Research Institute of Highway (CN)
Harbin Institute of Technology
Openalex Percentile: Top 68%
Noise Effects and Management
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