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Trường DCGiá trị Ngôn ngữ
dc.contributor.authorVilutiene, Tatjana-
dc.contributor.authorKalibatiene, Diana-
dc.contributor.authorHosseini, M Reza-
dc.contributor.authorPellicer, Eugenio-
dc.date.accessioned2020-04-01T03:46:19Z-
dc.date.available2020-04-01T03:46:19Z-
dc.date.issued2019-
dc.identifier.issn1687-8086-
dc.identifier.issn1687-8094 (e)-
dc.identifier.otherBBKH853-
dc.identifier.urihttp://thuvienso.vanlanguni.edu.vn/handle/Vanlang_TV/16094-
dc.description19 tr.vi
dc.description.abstractBuilding information modeling (BIM) is transforming the way of work across the architecture, engineering, and construction (AEC) industry, where BIM offers vast opportunities for improving performance. BIM is therefore an area of great interest across the AEC industry in general and for the structural engineering field in particular. This paper is aimed at providing a broad picture of published papers that relate BIM with structural engineering. This overview will enhance understanding of the state of the research work on this subject, drawing upon bibliometric analysis of 369 papers. Findings provide an updated picture of how now-available studies that link BIM developments and applications in structural engineering are distributed chronologically, across journals, authors, countries, and institutions. Detailed analyses of citation networks present the cooccurrence map of keywords, citation patterns of journals and articles, the most cited journals, and the top 15 most cited articles on BIM in the area of structural engineering. Discussions demonstrate that research on BIM applications for structural engineering has been constantly growing with a sudden increase after 2014. This study reveals that research attempts on this area have been dominated by exploring generic issues of BIM like information management; however, technical issues of structural engineering, to be resolved through BIM capabilities, have remained overlooked. Moreover, the research work in this area is found to be conducted largely in isolation, comprising disjointed and fragmented research studies. Gaps and important areas for future research include modeling of structural components, automation of the assembly sequence, planning and optimization of off-site construction, and dynamic structural health monitoring.vi
dc.language.isoenvi
dc.publisherHindawi Publishing Corporationvi
dc.subjectResearchvi
dc.subjectSoftwarevi
dc.subjectBibliometricsvi
dc.subjectJournalsvi
dc.subjectStudiesvi
dc.subjectModellingvi
dc.subjectOptimizationvi
dc.subjectCivil engineeringvi
dc.subjectCitation analysisvi
dc.subjectDesignvi
dc.titleBuilding Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literaturevi
dc.typeOthervi
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