Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-69316-4.pdf
Reference111 articles.
1. Hayat, A., Hussain, A. & Afridi, H. F. Determination of in-field temperature variations in fresh HMA and corresponding compaction temperatures. Constr. Build. Mater. 216, 84–92 (2019).
2. Zhang, W. et al. In-time density monitoring of in-place asphalt layer construction via intelligent compaction technology. J. Mater. Civ. Eng. 35, 04022386 (2023).
3. Afridi, H. F. & Khattak, M. J. Self-healing characteristics of polyvinyl alcohol-fiber-reinforced hot mix asphalt for enhanced pavement durability. Transp. Res. Rec. https://doi.org/10.1177/03611981241231969 (2024).
4. Yoder, E. J. & Witczak, M. W. Principles of pavement design. Princ. Pavement Des https://doi.org/10.1002/9780470172919 (1975).
5. Thompson, M. R. & Robnett, Q. L. Resilient properties of subgrade soils. ASCE Transp. Eng. J. 105, 71–89 (1979).
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