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Author:

Miao, Ying-Hao (Miao, Ying-Hao.) | Zhao, En-Qiang (Zhao, En-Qiang.) | Wang, Shu-Yun (Wang, Shu-Yun.) | Zhang, Jin-Xi (Zhang, Jin-Xi.)

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EI Scopus PKU CSCD

Abstract:

To quantitatively analyze mitigation of fatigue-induced reflective cracking in asphalt pavement through geotextiles, impact of geotextile on stress and strain distribution in asphalt layer, stress and strain distribution in geotextile were calculated using FEM. Then variety in fatigue life of pavement was quantitatively researched. Fatigue life of asphalt layer is extended because tensile stress in bottoms of asphalt layer is reduced prominently by geotextile. The bigger geotextile elastic modulus is, the more tensile stress in bottoms of asphalt layer reduces, and the longer fatigue life of pavement extends. Stress distributes over about 12 cm in geotextile above base crack, and the magnitude of stress is far lower than geotextile tensile strength. It is an effective method to use geotextile for mitigating fatigue-induced reflective cracking in asphalt pavement. In practice, elastic modulus corresponding with the potential maximum stress should be considered when choosing getextile.

Keyword:

Tensile strength Tensile stress Asphalt mixtures Elastic moduli Finite element method Cracks Fatigue of materials Geotextiles Asphalt pavements

Author Community:

  • [ 1 ] [Miao, Ying-Hao]Transportation Research Center, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Zhao, En-Qiang]Transportation Research Center, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wang, Shu-Yun]Transportation Research Center, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Jin-Xi]Transportation Research Center, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Beijing University of Technology

ISSN: 0254-0037

Year: 2009

Issue: 6

Volume: 35

Page: 790-795

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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