| Issue |
E3S Web Conf.
Volume 512, 2024
2024 International Conference on Urban Construction and Transportation (UCT 2024)
|
|
|---|---|---|
| Article Number | 02023 | |
| Number of page(s) | 5 | |
| Section | Construction Material Research and Urban Environmental Planning | |
| DOI | https://doi.org/10.1051/e3sconf/202451202023 | |
| Published online | 10 April 2024 | |
Predictive Modeling of High Temperature Performance of SMA-13 Cold Patch Asphalt Mixture 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 high temperature performance of cold-patched asphalt mixtures and gradation fractal, 13 groups of SMA-13 asphalt mixtures were designed, and high temperature rutting test was carried out to study the high temperature performance of cold-patched asphalt mixtures, and the fractal theory was applied to get the overall fractal dimension D, coarse aggregate fractal dimension Dc, fine aggregate fractal dimension Df, and the predictive model of high temperature performance for cold-patched asphalt mixtures was set up according to the correlation analysis of the high temperature performance and fractal dimension. The high-temperature performance prediction model of cold-patched asphalt mixtures was established based on the correlation analysis between high-temperature performance and fractal dimension. This can reduce the test workload, improve work efficiency, and provide reference for engineering design.
© The Authors, published by EDP Sciences, 2024
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