Predicting the Gas Permeability of Sustainable Cement Mortar Containing Internal Cracks by Combining Physical Experiments and Hybrid Ensemble Artificial Intelligence Algorithms.

Chao, Zhiming; Yang, Chuanxin; Zhang, Wenbing; Zhang, Ye; Zhou, Jiaxin

Chao, Zhiming; Yang, Chuanxin; Zhang, Wenbing; Zhang, Ye; Zhou, Jiaxin.

Afiliação

Chao Z; College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 200135, China.
Yang C; Institute of Water Sciences and Technology, Hohai University, Nanjing 211106, China.
Zhang W; College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 200135, China.
Zhang Y; College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 200135, China.
Zhou J; Mentverse Ltd., 25 Cabot Square, Canary Wharf, London E14 4QZ, UK.

Materials (Basel) ; 16(15)2023 Jul 29.

Article em En | MEDLINE | ID: mdl-37570034

Palavras-chave

cement mortar; gas permeability; internal cracks; mind evolutionary algorithm

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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