| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 02022 | |
| Number of page(s) | 5 | |
| Section | Construction Material Research and Urban Environmental Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202451202022 | |
| Published online | 10 April 2024 | |
Predictive modeling of low-temperature performance of SMA-13 cold-patching asphalt mixtures based on fractal theory
1 The Traffic Engineering School of Shenyang Jianzhu University, Shenyang, Liaoning, China
2 The Traffic Engineering School of Shenyang Jianzhu University, Shenyang, Liaoning, China
* Corresponding author: xiejr123@126.com
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.
© The Authors, published by EDP Sciences, 2024
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