Notice of RetractionThe prediction model of graded gravel resilient modulus

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

According to the nonlinear characteristic of graded gravel resilient modulus, Based on the optimization of the three kinds of graded gravel as the research object, and combined with repeated dynamic triaxial test data, compared k~θ model and Uzan model, using statistical analysis software lstopt carries on the experimental parameters of nonlinear regression, obtained the correlative coefficient of three graded gravel resilient modulus, which is under the two models. Experimental results show that: Uzan model can more accurately reflects the nonlinear deformation behavior of graded gravel resilient, so the reliability of the regression modulus prediction equation for graded gravel is higher, can be used to forecast China´s Graded Aggregate Base modulus.