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has been cited by the following article:

• TITLE: Low Temperature Performance Prediction Model of Cold-Filled SMA-13 Asphalt Mixture

  AUTHORS: Zhaohui Sun, Simeng Wang, Shang Ma, Shuai Liu

  KEYWORDS: Low Temperature Performance, Prediction Model, Cold-Filled SMA-13 Asphalt Mixture, Fractal Dimension, Evaluation Index

  JOURNAL NAME: Materials Sciences and Applications, Vol.9 No.13, December 24, 2018

  ABSTRACT: Sets of cold-filled SMA-13 asphalt mixture were designed by means of orthogonal design method. The bending and low temperature creep tests of the cold-filled SMA-13 asphalt mixture were carried out. The related models of the fractal dimension and the road performance evaluation index including low temperature bending failure strain εB and bending strength RB are established by using fractal theory. The model can be used to predict the low temperature performance of cold-filled SMA-13 asphalt mixture according to the design gradation, which can reduce the test workload and improve the working efficiency, so as to provide the reference for engineering design.