Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete
Concrete made with additives like slag and fly ash has revolutionized construction by reducing carbon emissions, minimizing waste, lowering labor costs, and enhancing durability and accuracy. Predicting the compressive strength (CS) is vital for achieving optimal performance. Given the nonlinear cha...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
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Series: | Hybrid Advances |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2773207X25000284 |
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