›› 2012, Vol. ›› Issue (03): 629-633.

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Improved viscoelastic parameter identification for asphalt mixture

CHENG Yong-chun, GUO Qing-lin, TAN Guo-jin   

  1. College of Transportation, Jilin University, Changchun 130022, China
  • Received:2011-04-14 Online:2012-05-01

Abstract: Though Burgers model has been widely used to analyze viscoelastic creep properties of asphalt mixture, there are some disadvantages such as subjective determining time segmentations for parameters identification of the model. An optimum time segmentation identification method for Burgers model was proposed in this paper. The optimum time segmentations were determined according to the principle of least residual sum of squares. Its stability and versatility were verified by theoretical analysis and experimental test. The parameters of Burgers model can be identified more accurately by this method. It will be helpful to predict the viscoelastic deformation more accurately and evaluate creep performance of asphalt pavement.

Key words: highway engineering, asphalt mixture, Burgers model, optimum time segmentation, parameter identification, reliability

CLC Number: 

  • U416.217
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