Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature
Joint Authors
Zavadskas, E. K.
Pellicer, Eugenio
Vilutiene, Tatjana
Hosseini, Mohammad R.
Kalibatiene, Diana
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-25
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Building 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.
American Psychological Association (APA)
Vilutiene, Tatjana& Kalibatiene, Diana& Hosseini, Mohammad R.& Pellicer, Eugenio& Zavadskas, E. K.. 2019. Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature. Advances in Civil Engineering،Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1116478
Modern Language Association (MLA)
Vilutiene, Tatjana…[et al.]. Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature. Advances in Civil Engineering No. 2019 (2019), pp.1-19.
https://search.emarefa.net/detail/BIM-1116478
American Medical Association (AMA)
Vilutiene, Tatjana& Kalibatiene, Diana& Hosseini, Mohammad R.& Pellicer, Eugenio& Zavadskas, E. K.. Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature. Advances in Civil Engineering. 2019. Vol. 2019, no. 2019, pp.1-19.
https://search.emarefa.net/detail/BIM-1116478
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116478