Prediction of tire–pavement friction based on asphalt mixture surface texture level and its distributions-Reference-Cited by-同舟云学术

Prediction of tire–pavement friction based on asphalt mixture surface texture level and its distributions

Published:2019-01-12 Issue:6 Volume:21 Page:1545-1564
ISSN:1468-0629
Container-title:Road Materials and Pavement Design
language:en
Short-container-title:Road Materials and Pavement Design

Author:

Chen De¹²³^ORCID,Han Sen⁴⁵,Ye Anjun²,Ren Xiaochun²,Wang Wei²,Wang Tingting⁶

Affiliation:

1. School of Civil Engineering, Southwest Jiaotong University, 1545 Civil Building, No. 111, North 1st Section of Second Ring Road, Chengdu, Sichuan 610031, People’s Republic of China

2. State Key Laboratory of Rail Transit Engineering Informatization (FSDI), China Railway First Survey and Design Institute Group Co. Ltd., No. 2, Xiying Road, Xi’an, Shaan Xi 710043, People’s Republic of China

3. Key Laboratory of High-Speed Railway Engineering of Ministry of Education, Southwest Jiaotong University, 1545 Civil Building, No. 111, North 1st Section of Second Ring Road, Chengdu, Sichuan 610031, People’s Republic of China

4. School of Highway, Chang’an University, Transportation Technology Building, Room 508 Middle of South 2nd Ring Road, Xi’an, Shaan Xi 710064, People’s Republic of China

5. Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang’an University, Transportation Technology Building, Room 508 Middle of South 2nd Ring Road, Xi’an, Shaan Xi 710064, People’s Republic of China

6. State-Key Laboratory of Traction Power, Southwest Jiaotong University, 206 State-Key Laboratory Building, No. 111, North 1st Section of Second Ring Road, Chengdu, Sichuan 610031, People’s Republic of China

Publisher

Informa UK Limited

Subject

Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/14680629.2018.1560354

Reference29 articles.

1. ASTM International. (2015). ASTM E524-08 (Reapproved 2015). Standard speciﬁcation for standard smooth tire for pavement skid-resistance tests. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959. United States.

2. Chen, D. (2015a). Study on two-dimension image-based texture analysis method and prediction of skid-resistance & tire/pavement noise reduction of HMA (Thesis PhD). Chang’ an University. (In Chinese).

3. Directional distribution of three-dimensional connected voids in porous asphalt mixture and flow simulation of permeability anisotropy

4. Prediction of asphalt mixture surface texture level and its distributions using mixture design parameters

5. Prediction of tire-pavement noise of porous asphalt mixture based on mixture surface texture level and distributions

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