E3S Web of Conferences (Jan 2024)

Predictive modeling of low-temperature performance of SMA-13 cold-patching asphalt mixtures based on fractal theory

  • Sun Zhao-Hui,
  • Xie Jie-Ru,
  • Guo Ke

DOI
https://doi.org/10.1051/e3sconf/202451202022
Journal volume & issue
Vol. 512
p. 02022

Abstract

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In order to study the relationship between the low-temperature performance of cold-patching asphalt mixtures and the fractal of gradation, 13 groups of SMA-13 gradations were designed, and then the low-temperature performance test of cold-patching asphalt mixtures was carried out. The overall fractal dimension D, coarse aggregate fractal dimension Dc, fine aggregate fractal dimension Df were obtained by using fractal theory, and according to the correlation analysis of low-temperature performance and fractal dimension, the low-temperature performance prediction model of cold-patching asphalt mixtures based on fractal dimension was established.