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Article: A comparative study of artificial intelligent methods for explosive spalling diagnosis of hybrid fiber-reinforced ultra-high-performance concrete

TitleA comparative study of artificial intelligent methods for explosive spalling diagnosis of hybrid fiber-reinforced ultra-high-performance concrete
Authors
Liu, JHuang, LCHEN, ZYe, H
Issue Date2022
Citation
International Journal of Civil Engineering, 2022, v. 20, p. 639-660 How to Cite?
DOI: http://dx.doi.org/10.1007/s40999-021-00689-7
Persistent Identifierhttp://hdl.handle.net/10722/313773
ISI Accession Number ID
WOS:000724655100002

 

DC FieldValueLanguage
dc.contributor.authorLiu, J-
dc.contributor.authorHuang, L-
dc.contributor.authorCHEN, Z-
dc.contributor.authorYe, H-
dc.date.accessioned2022-07-05T05:05:27Z-
dc.date.available2022-07-05T05:05:27Z-
dc.date.issued2022-
dc.identifier.citationInternational Journal of Civil Engineering, 2022, v. 20, p. 639-660-
dc.identifier.urihttp://hdl.handle.net/10722/313773-
dc.languageeng-
dc.relation.ispartofInternational Journal of Civil Engineering-
dc.titleA comparative study of artificial intelligent methods for explosive spalling diagnosis of hybrid fiber-reinforced ultra-high-performance concrete-
dc.typeArticle-
dc.identifier.emailLiu, J: jcliu@hku.hk-
dc.identifier.emailYe, H: hlye@hku.hk-
dc.identifier.authorityYe, H=rp02379-
dc.identifier.doi10.1007/s40999-021-00689-7-
dc.identifier.hkuros333875-
dc.identifier.volume20-
dc.identifier.spage639-
dc.identifier.epage660-
dc.identifier.isiWOS:000724655100002-

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