scholarly journals Geometric Descriptors of Road Surface Texture in Relation to Tire-Road Noise

2002 ◽  
Vol 1806 (1) ◽  
pp. 160-167 ◽  
Author(s):  
Fabienne Anfosso-Lédée ◽  
Minh-Tan Do
Keyword(s):  
Surface Texture ◽  
Road Surface ◽  
Road Noise ◽  
Geometric Descriptors

The effects of road surface and tyre deterioration on tyre/road noise emission

2013 ◽  
Vol 74 (7) ◽  
pp. 921-925 ◽  
Author(s):  
Ka-Yee Ho ◽  
Wing-Tat Hung ◽  
Chung-Fai Ng ◽  
Yat-Ken Lam ◽  
Randolph Leung ◽  
...  
Keyword(s):  
Road Surface ◽  
Road Noise ◽  
Noise Emission

Road surface texture and skid resistance

2015 ◽  
Vol 3 (4) ◽  
pp. 043001 ◽  
Author(s):  
Minh-Tan Do ◽  
Veronique Cerezo
Keyword(s):  
Surface Texture ◽  
Road Surface ◽  
Skid Resistance

Tyre/road noise: Influence of multi-asperity road surface properties on tyre-road contact stresses

2013 ◽  
Vol 61 (4) ◽  
pp. 400-406
Author(s):  
Julien Cesbron ◽  
Guillaume Dubois ◽  
Fabienne Anfosso-Ledee ◽  
Hai Ping Yin
Keyword(s):  
Surface Properties ◽  
Contact Stresses ◽  
Road Surface ◽  
Road Noise

Influence of Road Surface Characteristics on Tire–Road Noise for Thin-Layer Surfacings

2015 ◽  
Vol 141 (11) ◽  
pp. 04015024 ◽  
Author(s):  
Mingliang Li ◽  
Wim van Keulen ◽  
Halil Ceylan ◽  
Guoqi Tang ◽  
Martin van de Ven ◽  
...  
Keyword(s):  
Thin Layer ◽  
Surface Characteristics ◽  
Road Surface ◽  
Road Noise

scholarly journals Road Surface Texture Prints

Nature ◽  
1940 ◽  
Vol 145 (3662) ◽  
pp. 40-40
Keyword(s):  
Surface Texture ◽  
Road Surface

scholarly journals Evaluating the Tire/Pavement Noise and Surface Texture of Low-Noise Micro-Surface Using 3D Digital Image Technology

2021 ◽  
Vol 8 ◽  
Author(s):  
Wang Chen ◽  
Mulian Zheng ◽  
Haiyang Wang
Keyword(s):  
Noise Reduction ◽  
Digital Image ◽  
Surface Texture ◽  
Three Dimensional ◽  
Low Noise ◽  
Road Noise ◽  
Texture Model ◽  
Promising Tool ◽  
Absorbing Materials ◽  
Reduction Effect

As a common preventive maintenance technique for asphalt pavement, micro-surface (MS) has the advantages of waterproofing and crack sealing. However, issues such as the fact that the conventional MS generates large noise and the evaluation of the indexes of tire-road noise are relatively less studied. The traditional surface texture index cannot reveal the range and distribution of pavement surface texture, thus hindering research of low-noise MS. To study the mechanism of tire-road noise generated by MS, and propose the tire-road noise and surface texture indicators for MS. In this study, the mechanism of five low-noise MS was systematically analyzed and compared through surface texture and noise tests. Then, a three-dimensional digital texture model (3D-DTM) of MS surface texture was constructed using a series of digital image processing techniques, including grayscale identification, binary conversion, and noise reduction. The results show that optimizing the gradation, adding sound-absorbing materials, and improving the workability of construction can improve the noise reduction performance of MS, it is worth mentioning that the MS prepared with sound-absorbing materials and low-noise gradation has the greatest noise reduction effect, with a maximum reduction of 6.3 dB(A). In addition, it was also found that the 3D-DTM can well reflect the surface texture characteristics of MS. The probability of convex peak distribution (PCD) and the proportion of convex peak area (PCA) with peak heights greater than 0.25 mm (Kh ≥ 0.25), which are extracted from the 3D-DTM, can well reflect the surface texture, tire-road noise, respectively. The results show that the 3D-DTM is a promising tool to optimize the design of low-noise MS.

scholarly journals Low-Frequency Road Noise of Electric Vehicles Based on Measured Road Surface Morphology

2019 ◽  
Vol 10 (2) ◽  
pp. 33 ◽  
Author(s):  
Zhenqi Yu ◽  
Dong Cheng ◽  
Xingyuan Huang
Keyword(s):  
Surface Morphology ◽  
Simulation Analysis ◽  
Early Stage ◽  
Low Frequency ◽  
Processing System ◽  
Test Site ◽  
Road Surface ◽  
Labor Costs ◽  
Road Noise ◽  
The Road

In this paper, the noise vibration harshness (NVH) road surface morphology of a test site is scanned to establish a data processing system for the road surface, which can be used to transform the road surface morphology into the road surface excitation required for the road noise simulation analysis. The road surface morphology of the test site is used as the excitation input of the simulation analysis. The results obtained from the simulation analysis are equivalent to the experimental results. Using the actual scanning road surface morphology to simulate the excitation of a vehicle, the noise, as well as the vibration response of the vehicle under the actual road excitation of NVH in the early stage of vehicle development, can be accurately predicted. In the physical prototype stage, the rectification of vehicle road noise and the optimization to provide the needed excitation for the simulation analysis can be done, which will reduce the labor costs of the relevant experiment. Therefore, this method of road noise research has important engineering significance.

Sign in / Sign up

Export Citation Format

Share Document