Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature
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 structur...
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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/5290690 |
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author | Tatjana Vilutiene Diana Kalibatiene M. Reza Hosseini Eugenio Pellicer Edmundas Kazimieras Zavadskas |
author_facet | Tatjana Vilutiene Diana Kalibatiene M. Reza Hosseini Eugenio Pellicer Edmundas Kazimieras Zavadskas |
author_sort | Tatjana Vilutiene |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-3ad1abb751f340f9847d2707cacdcee6 |
institution | Kabale University |
issn | 1687-8086 1687-8094 |
language | English |
publishDate | 2019-01-01 |
publisher | Wiley |
record_format | Article |
series | Advances in Civil Engineering |
spelling | doaj-art-3ad1abb751f340f9847d2707cacdcee62025-02-03T06:07:13ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/52906905290690Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the LiteratureTatjana Vilutiene0Diana Kalibatiene1M. Reza Hosseini2Eugenio Pellicer3Edmundas Kazimieras Zavadskas4Department of Construction Management and Real Estate, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Vilnius 10223, LithuaniaDepartment of Information Systems, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Vilnius 10223, LithuaniaSchool of Architecture and Built Environment, Deakin University, Geelong 3220, AustraliaSchool of Civil Engineering, Universitat Politecnica de Valencia, 46022 Valencia, SpainInstitute of Sustainable Construction, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Vilnius 10223, LithuaniaBuilding 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.http://dx.doi.org/10.1155/2019/5290690 |
spellingShingle | Tatjana Vilutiene Diana Kalibatiene M. Reza Hosseini Eugenio Pellicer Edmundas Kazimieras Zavadskas Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature Advances in Civil Engineering |
title | Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature |
title_full | Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature |
title_fullStr | Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature |
title_full_unstemmed | Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature |
title_short | Building Information Modeling (BIM) for Structural Engineering: A Bibliometric Analysis of the Literature |
title_sort | building information modeling bim for structural engineering a bibliometric analysis of the literature |
url | http://dx.doi.org/10.1155/2019/5290690 |
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