Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Part 1

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Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Part 1–Workability

Published:2023-12 Issue: Volume:408 Page:133560
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Safhi Amine el Mahdi,Dabiri Hamed^ORCID,Soliman Ahmed,Khayat Kamal H.^ORCID

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference52 articles.

1. ACI Committee 237, ed., Self-consolidating concrete, American Concrete Institute, Farmington Hills, Mich, 2007.

2. C.I. Goodier, Development of self-compacting concrete, Proceedings of the Institution of Civil Engineers - Structures and Buildings. 156 (2003) 405–414. https://doi.org/10.1680/stbu.2003.156.4.405.

3. Workability;Khayat;Testing, and Performance of Self-Consolidating Concrete, MJ.,1999

4. Test Method for Slump Flow of Self-Consolidating Concrete, ASTM;Astm c1611,;International,2019

5. Workability of flowing concrete assessment by a free orifice rheometer;Bartos;Concrete,1978

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