Predictive modelling of sustainable concrete compressive strength using advanced machine learning algorithms
Considerable efforts have been made to increase the compressive strength of concrete by incorporating industrial by-products such as recycled aggregates and manufactured sand as partial substitutes for natural materials. However, predicting the compressive strength of concrete remains a challenge du...
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Main Authors: | Tejas Joshi, Pulkit Mathur, Parita Oza, Smita Agrawal |
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Format: | Article |
Language: | English |
Published: |
Josip Juraj Strossmayer University of Osijek, Faculty of Civil Engineering and Architecture Osijek, Croatia
2024-01-01
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Series: | Advances in Civil and Architectural Engineering |
Subjects: | |
Online Access: | https://hrcak.srce.hr/ojs/index.php/acae/article/view/31592/17184 |
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