Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (7): 31-36.

• Chemistry & Chemical Engineering • Previous Articles     Next Articles

Fatigue Properties of Large-Sample Asphalt Mixture Under the Same Conditions

Wu Kuang-hua  Zhang Xiao-ning   

  1. School ofTraffic and Communications , South China Univ. ofTech. , Guangzhou 510460 , Guangdong , China
  • Received:2006-09-20 Online:2007-07-25 Published:2007-07-25
  • Contact: 吴旷怀(1969-),男,博士生,广州大学土木工程学院副教授,主要从事道路工程的研究. E-mail:wuku-anghuai@163.com
  • About author:吴旷怀(1969-),男,博士生,广州大学土木工程学院副教授,主要从事道路工程的研究.

Abstract:

Experimental investigation into the strain -controlled fatigue properties of large-sample asphalt mixture under the same conditions was carried out , and the distributions as well as the correlativity of three parameters including the fatigue life , the initial modulus and the cumulative dissipated energy were analyzed. Moreover , the relationships between the air void ratio in asphalt mixture and the three above-mentioned parameters were analyzed. The results indicate that the strain-controlled fatigue life is greatly discrete , that the fatigue life , the cumulative dissipated energy and the initial modulus all follow the simple and the logarithmic three-parameter Weibull distributions , revealing the feasibility of applying the simple three parameter Weibull distribution to the analysis of the fatigue test data , and that , under the same conditions , there are negative and logarithmic negative linear relationships between the fatigue life and the initial modulus , a strong positive linear relationship between the cumulative dissipated
energy and the fatigue life , a negative linear relationship between the air void ratio and the logarithmic cumulative dissipated energy as well as the logarithmic fatigue life , and a weak correlativity between the initial modulus and the air void ratio. All these above-mentioned statements demonstrate the laws of strain-controlled fatigue of asphalt mlxture.

Key words: asphalt mixture, fatigue, experimental investigation, large sample