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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Vydáno v:	Reviews on advanced materials science Ročník 63; číslo 1; s. id. e01521 - 770
Hlavní autoři:	Tian, Qiong, Lu, Yijun, Zhou, Ji, Song, Shutong, Yang, Liming, Cheng, Tao, Huang, Jiandong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	De Gruyter 01.03.2024
Témata:	crack repair machine learning self-healing concrete
ISSN:	1605-8127, 1605-8127
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!