Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (2): 139-144.doi: 10.3969/j.issn.1000-565X.2014.02.021

• Traffic & Transportation Engineering • Previous Articles    

Prediction of Fatigue Life of Asphalt Mixture Based on Strain Control

Wu Zhi- yong1 Zhang Xiao- ning1 You Hong2 Yuan Miao- miao1 Wan Cheng1   

  1. 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China;2.Communication Surveying and Design Institute of Sichuan Provincial Communication Transport Department,HighwayEngineering Consulting Department,Chengdu 610041,Sichuan,China
  • Received:2013-07-08 Revised:2013-09-06 Online:2014-02-25 Published:2014-01-02
  • Contact: 吴志勇(1980-),男,博士生,主要从事道路工程路面材料研究. E-mail:wuzhiyong1688@163.com
  • About author:吴志勇(1980-),男,博士生,主要从事道路工程路面材料研究.
  • Supported by:

    国家自然科学基金资助项目(51038004, 51208212)

Abstract:

Four- point bending beam fatigue tests of three kinds of graded asphalt mixtures were carried out in thestrain control mode,and two criteria for fatigue life prediction,namely the catastrophe point of the relative changerate of dissipated energy (Criterion 1) and the stiffness modulus decreasing to 50% of the initial stiffness modulus(Criterion 2),were compared.Then,two fatigue life prediction models respectively corresponding to the two crite-ria were constructed.The results show that (1) the initial stiffness modulus of the mixture decreases with the in-crease of strain level and nominal maximum particle size; (2) when Criterion 1 is used as the failure criterion,thesame mixture mostly destroys with the same stiffness modulus at different strain levels,the destruction stiffnessmodulus of different mixtures decreases with increase of nominal maximum particle size,and the predicted fatiguelife is longer than that predicted by Criterion 2; (3) the fatigue life of asphalt mixture significantly decreases withthe increase of the strain level and the nominal maximum particle size; and (4) the fatigue life prediction modelcorresponding to Criterion 1 is of higher accuracy.

Key words: asphalt mixtures, fatigue life, strain control, dissipated energy, relative change rate, stiffness mo-dulus, failure criterion

CLC Number: