DocumentCode
3247216
Title
Notice of Retraction
The prediction model of graded gravel resilient modulus
Author
Xiushan Wang ; Gang Li
Author_Institution
Chinese First Inst. Ltd. Corp. of Highway Survey & Design, Xi´an, China
fYear
2011
fDate
22-24 April 2011
Firstpage
7015
Lastpage
7018
Abstract
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.
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.
Keywords
aggregates (materials); building materials; deformation; materials testing; regression analysis; China graded aggregate base modulus; Uzan model; correlative coefficient; dynamic triaxial test data; graded gravel resilient modulus; k~θ model; nonlinear deformation behavior; nonlinear regression modulus prediction equation; statistical analysis software; Aggregates; Data models; Load modeling; Mathematical model; Predictive models; Stress; graded gravel; nonlinear regression; prediction model; resilient modulus;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Technology and Civil Engineering (ICETCE), 2011 International Conference on
Conference_Location
Lushan
Print_ISBN
978-1-4577-0289-1
Type
conf
DOI
10.1109/ICETCE.2011.5775762
Filename
5775762
Link To Document