Predicting compressive strength of concrete at elevated temperatures and optimizing its mixture proportions
Predicting concrete behavior under high temperatures and optimizing fire-resistant mix designs remain key challenges in civil engineering. To address the issues to a certain extent, this paper integrates Bayesian prediction with Cuckoo search optimization at material scale. A database of 822 high-te...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525002785 |
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