Development of a Novel Prediction Model for Interface Shear Strength in Asphalt Pavement Using the CART Model
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12205-024-1680-5.pdf
Reference33 articles.
1. Ai C, Rahman A, Song J, Gao X, Lu Y (2017) Characterization of interface bonding in asphalt pavement layers based on direct shear tests with vertical loading. Journal of Materials in Civil Engineering 29(9), DOI: https://doi.org/10.1061/(asce)mt.1943-5533.0001952
2. AL-Jarazi R, Rahman A, Ai C, Al-Huda Z, Ariouat H (2023) Development of prediction models for interlayer shear strength in asphalt pavement using machine learning and SHAP techniques. Road Materials and Pavement Design, 1–19, DOI: https://doi.org/10.1080/14680629.2023.2276412
3. Al-Jarazi R, Rahman A, Ai C, Al-Huda Z, Elabbas Abdelhliem L (2023) Interface bonding strength between asphalt pavement layers under mixed shear-tensile mode: Laboratory evaluation and modeling predictions. Journal of Materials in Civil Engineering 36(2):04023565, DOI: https://doi.org/10.1061/JMCEE7.MTENG-16443
4. Alae M, Zhao Y, Zarei S, Fu G, Cao D (2020) Effects of layer interface conditions on top-down fatigue cracking of asphalt pavements. International Journal of Pavement Engineering 21(3):280–288, DOI: https://doi.org/10.1080/10298436.2018.1461870
5. Arifuzzaman M, Gazder U, Alam MS, Sirin O, Mamun AA (2019) Modelling of asphalt’s adhesive behaviour using classification and regression tree (CART) analysis. Computational Intelligence and Neuroscience 15(8), DOI: https://doi.org/10.1155/2019/3183050
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