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Author:

Miao, Yinghao (Miao, Yinghao.) | Cao, Dongwei (Cao, Dongwei.) | Liu, Qingquan (Liu, Qingquan.)

Indexed by:

EI Scopus

Abstract:

Pavement skid resistance, which depends on slip speed, is an important factor impacting traffic safety. To deeply understand the relationship of asphalt pavement skid resistance to slip speed, field tests are conducted using Dynamic Friction Tester (DFT) at 33 test sites of 11 sections with various highway grades and surface types. Friction coefficients corresponding to various slip speeds (0 km/h through 80km/h by 0.1 km/h) are obtained for each test site. Evaluations show that the Penn State Model is not suitable for characterizing the curve of slip speed-friction coefficient measured by DFT. Then, a new model with 3 parameters is developed. Regression analysis of the 33 DFT measurements shows that the new model can accurately describe the relationship of asphalt pavement skid resistance to slip speed measured by DFT. It has the potential to improve skid resistance evaluation of asphalt pavement. © 2010 ASCE.

Keyword:

Measurement Safety factor Friction Materials testing apparatus Design for testability Speed Skid resistance Regression analysis Asphalt Asphalt pavements

Author Community:

  • [ 1 ] [Miao, Yinghao]Key Laboratory of Transportation Engineering, Beijing University of Technology, China
  • [ 2 ] [Miao, Yinghao]Key Laboratory of Road Structure and Material (Beijng), Ministry of Transport, 100 Pingleyuan, Chaoyang District, Beijing 100124, China
  • [ 3 ] [Cao, Dongwei]Key Laboratory of Road Structure and Material (Beijng), Ministry of Transport, 8 Xitucheng Road, Haidian District, Beijing 100088, China
  • [ 4 ] [Liu, Qingquan]Key Laboratory of Road Structure and Material (Beijng), Ministry of Transport, 8 Xitucheng Road, Haidian District, Beijing 100088, China

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Source :

Year: 2010

Volume: 382

Page: 3678-3685

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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