Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study-Reference-Cited by-同舟云学术

Machine learning-based prediction of concrete strengths with coconut shell as partial coarse aggregate replacement: a comprehensive analysis and sensitivity study

Published:2024-01-23 Issue:4 Volume:25 Page:3183-3200
ISSN:1563-0854
Container-title:Asian Journal of Civil Engineering
language:en
Short-container-title:Asian J Civ Eng

Author:

Tipu Rupesh Kumar,Panchal V. R.,Pandya K. S.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42107-023-00971-0.pdf

Reference56 articles.

1. Adajar, M. A., Galupino, J., Frianeza, C., Aguilon, J. F., Sy, J. B., & Tan, P. A. (2020). Compressive strength and durability of concrete with coconut shell ash as cement replacement. Geomate Journal, 18, 183–190. https://doi.org/10.21660/2020.70.9132

2. Aziz, W., Aslam, M., Ejaz, M. F., Jahanzaib Ali, M., Ahmad, R., Wajeeh-ul-Hassan Raza, M., & Khan, A. (2022). Mechanical properties, drying shrinkage and structural performance of coconut shell lightweight concrete. Structures, 35, 26–35. https://doi.org/10.1016/J.ISTRUC.2021.10.092

3. Bari, H., Salam, M. A., & Safiuddin, M. (2021). Fresh and hardened properties of brick aggregate concrete including coconut shell as a partial replacement of coarse aggregate. Construction and Building Materials, 297, 123745. https://doi.org/10.1016/J.CONBUILDMAT.2021.123745

4. Bhoj, S., Manoj, A., & Bhaskar, S. (2023). Usage potential and benefits of processed coconut shells in concrete as coarse aggregates. Materials Today: Proceedings. https://doi.org/10.1016/J.MATPR.2023.03.529

5. Branchini, L., De Pascale, A., & Peretto, A. (2013). Systematic comparison of ORC configurations by means of comprehensive performance indexes. Applied Thermal Engineering, 61, 129–140. https://doi.org/10.1016/J.APPLTHERMALENG.2013.07.039

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