Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-022-3647-7.pdf
Reference39 articles.
1. Golalipour A, Jamshidi E, Niazi Y, et al. Effect of aggregate gradation on rutting of asphalt pavements. Procedia-Soc Behaval Sci, 2012, 53: 440–449
2. Alae M, Zhao Y, Zarei S, et al. Effects of layer interface conditions on top-down fatigue cracking of asphalt pavements. Int J Pavement Eng, 2020, 21: 280–288
3. Huang W, Liang S M, Wei Y. Surface deflection-based reliability analysis of asphalt pavement design. Sci China Tech Sci, 2020, 63: 1824–1836
4. Ghuzlan K A, Al-Mistarehi B W, Al-Momani A S. Rutting performance of asphalt mixtures with gradations designed using Bailey and conventional Superpave methods. Construction Building Mater, 2020, 261: 119941
5. Luo W, Li B, Zhang Y, et al. A creep model of asphalt mixture based on variable order fractional derivative. Appl Sci, 2020, 10: 3862
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1. Fatigue cracking prediction of RIOHTrack full-scale test track based on variable-order fractional Burgers model;Engineering Fracture Mechanics;2024-08
2. Stress wave in the mesoscopic discontinuous medium by fractional approach;International Journal of Mechanical Sciences;2024-06
3. An efficient analysis method for system reliability of semi-rigid base asphalt pavement structure based on direct probability integral method;Construction and Building Materials;2024-05
4. Predicting Rutting Development Using Machine Learning Methods Based on RIOCHTrack Data;Applied Sciences;2024-04-10
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