scholarly journals STUDY ON PERMANENT DEFORMATION ANALYSIS OF BASE COURSE SURFACE UNDER CONCRERTE PAVEMENT

2001 ◽  
Vol 6 ◽  
pp. 155-166
Author(s):  
Yasushi TAKEUCHI ◽  
Masashi KOYANAGAWA ◽  
Tatsuo NISHIZAWA ◽  
Katsura ENDO ◽  
Kazuyuki KUBO
2002 ◽  
pp. 117-127
Author(s):  
Yasushi TAKEUCHI ◽  
Masashi KOYANAGAWA ◽  
Tatsuo NISHIZAWA ◽  
Etsuro NODA ◽  
Kazuyuki KUBO

2011 ◽  
Vol 38 (5) ◽  
pp. 6081-6100 ◽  
Author(s):  
Mohammad Reza Mirzahosseini ◽  
Alireza Aghaeifar ◽  
Amir Hossein Alavi ◽  
Amir Hossein Gandomi ◽  
Reza Seyednour

Author(s):  
G. Behzadi ◽  
W. O. Yandell

A preliminary step in the prediction of rutting and cracking in a number of accelerated loading facility trials in Australia is presented. The results of laboratory repeated load triaxial tests were used to characterize the residual and resilient deformation of a silty clay subgrade material. The analysis of permanent deformation indicated that the well-known model ∈p = INS can be used to estimate the accumulated strain at any number of loading cycles. The parameter S (the slope of the line in a plot of log ∈p –log N) was found to be independent of stress and density, but very small increases were observed as moisture content increased. The parameter I (the intercept in a plot of log ∈p –log N) was found to be most sensitive to deviator stress. The test results also indicated that I increased with increasing moisture content and decreased as dry density increased. The analysis revealed that an exponential relationship existed between I and deviator stress. This relationship was used to develop a constitutive model for silty clay based on the previously mentioned well-known model. The constitutive model obtained would be able to predict the plastic strain under any number of loads at any specified stress level. Resilient deformation analysis has shown that resilient modulus initially decreased rapidly with increasing deviator stress and then increased slightly or was nearly constant. The elastic and plastic parameters will be used as input for performance predictors such as VESYS and Mechano-Lattice.


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