Predicting Marshall Stability of Carbon Fiber-Reinforced Asphalt Concrete Using Machine Learning Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanics of Materials,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42947-022-00223-5.pdf
Reference71 articles.
1. Liu, X., & Wu, S. (2011). Study on the graphite and carbon fiber modified asphalt concrete. Construction and Building Materials, 25(4), 1807–1811. https://doi.org/10.1016/j.conbuildmat.2010.11.082
2. Zulkati, A., Diew, W. Y., & Delai, D. S. (2012). Effects of fillers on properties of asphalt-concrete mixture. Journal of transportation engineering, 138(7), 902–910. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000395
3. Kareem, T. A., Kijewski’t, T., & Tamurat, Y. (1999). Mitigation of motions of tall buildings with specific examples of recent applications. Wind and Structures, 2(3), 201–251.
4. Wu, S., Ye, Q., Li, N., & Yue, H. (2007). Effects of fibers on the dynamic properties of asphalt mixtures. Journal of Wuhan University of Technology-Materials Science Ed., 22(4), 733–736. https://doi.org/10.1007/s11595-006-4733-3
5. Ziari, H., Orouei, M., Divandari, H., & Yousefi, A. (2021). Mechanical characterization of warm mix asphalt mixtures made with RAP and Para-fiber additive. Construction and Building Materials, 12(279), 122456.
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