Permanent Deformation Prediction Model of Graded Gravel under Repeated Load

Abstract:

In order to predict the permanent deformation of graded gravel, through to the existing flexible pavement granular base permanent deformation estimate model's contrastive analysis, combined with repeated dynamic triaxial test , selects Wei Mi permanent deformation estimate model as the loose aggregate permanent deformation of the estimate model, using 1stopt statistical analysis software carries on the nonlinear curve fit for the parameter, obtained two kinds of norms of graded broken stone aggregates forecast model of the correlation among the types : permanent deformation of the coefficient and water content and resilient modulus, and their reliability was analyzed. Analysis result shows that when load acting time reaches 10 000, the minimum and average correlative coefficients of the regression formulas is 0.4144 ,0.6340 and 0.5080, which is greater than the critical value of 0.3993, and the correlative coefficient between theoretical curve and measured one is more than 0.96. So the reliability of the proposed prediction formulas of permanent deformation for graded gravel is higher, can be used to forecast China's Asphalt Pavement Rutting.

• Periodical: Advanced Materials Research (Volumes 168-170)
• Pages: 217-221
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.168-170.217
• Online since: December 2010
• Authors: Xiu Shan Wang, Xiao Jun Ding, Yong Li Xie
• Keywords: Estimate Model, Graded Gravel, Nonlinear Curve Fit, Permanent Deformation, Subgrade Engineering

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