A novel data-driven machine learning techniques to predict compressive strength of fly ash and recycled coarse aggregates based self-compacting concrete
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Published:2024-06
Issue:
Volume:39
Page:109294
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ISSN:2352-4928
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Container-title:Materials Today Communications
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language:en
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Short-container-title:Materials Today Communications
Author:
Aggarwal SomanshiORCID,
Singh RajwinderORCID,
Rathore AyushORCID,
Kapoor KanishORCID,
Patel MaheshORCID
Reference88 articles.
1. R. Singh, V. Chaturvedi, A.K. Chaurasiya, M. Patel, Utilization of Industrial Waste in Concrete Mixes—A Review, in: 2021: pp. 77–97. https://doi.org/10.1007/978-3-030-51485-3_7.
2. A study of the Koyna earthquake of December 10, 1967;Gupta;Bull. Seismol. Soc. Am.,1969
3. A review of 3d printing technology-the future of sustainable construction;Tabassum;Mater. Today Proc.,2023
4. Revolutionizing concrete: a study of geopolymer concrete with metakaolin and G.G.B.S. inclusion;Thakarya;Mater. Today Proc.,2023
5. Buckling resistance prediction of high-strength steel columns using metaheuristic-trained artificial neural networks;Kaveh;Structures,2023
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