Exploring the viability of AI-aided genetic algorithms in estimating the crack repair rate of self-healing concrete
As a potential replacement for traditional concrete, which has cracking and poor durability issues, self-healing concrete (SHC) has been the research subject. However, conducting lab trials can be expensive and time-consuming. Therefore, machine learning (ML)-based predictions can aid improved formu...
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| Published in: | Reviews on advanced materials science Vol. 63; no. 1; pp. id. e01521 - 770 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
De Gruyter
01.03.2024
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| Subjects: | |
| ISSN: | 1605-8127, 1605-8127 |
| Online Access: | Get full text |
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