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 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.

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A Review and Scientometric Analysis of Global Building Information Modeling (BIM) Research in the Architecture, Engineering and Construction (AEC) Industry

Buildings ◽

10.3390/buildings9100210 ◽

2019 ◽

Vol 9 (10) ◽

pp. 210 ◽

Cited By ~ 11

Author(s):

Liu ◽

Lu ◽

Peh

Keyword(s):

Building Information Modeling ◽

Green Building ◽

Recent Decade ◽

Research Field ◽

Information Modeling ◽

Future Research ◽

Scientometric Analysis ◽

Facilities Management ◽

Building Information ◽

Aec Industry

: In the recent decade, Building Information Modeling (BIM) has widely been adopted in the Architectural, Engineering and Construction (AEC) industry and completely upended the way we build. While BIM continues gain momentum in the industry, it has also attracted increasing attention from researchers. However, most of the current study focuses on reviewing BIM for management, BIM for green building, BIM for infrastructure and BIM for Facilities Management (FM). There are few studies about Global BIM review and to discuss their complex inter-connections. In this study, we adopted a scientometric analysis method to review global BIM research during 2004–2019. In total, 1455 scholarly bibliographic records obtained from Web of Science Core Collection database were established for the analysis. This study has identified the top productive and influential researchers, research institutes, regions/countries, subject categories and journals in the BIM field. In addition, 11 clusters of global BIM research were also identified including construction project, green BIM, construction safety planning, automated IFC-based workflow and so on. The authors distinguished 11 clusters of global BIM research into three stages, namely formulating stage, accelerating stage and transforming stage. Furthermore, the authors reviewed the BIM policy of Singapore and observed there is a co-production relationship between evolution of BIM policy and global BIM research. These findings provide valuable information for researchers, practitioners and policymakers by visualizing the current progress in the research field of BIM and highlighting future research needs.

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Towards Enhancing Building Information Modeling Implementation in the Egyptian AEC Industry

The Academic Research Community Publication ◽

10.21625/archive.v2i3.360 ◽

2018 ◽

Vol 2 (3) ◽

pp. 209

Author(s):

Nouran Elabd ◽

Laila Khodeir

Keyword(s):

Case Studies ◽

Building Information Modeling ◽

Recent Decade ◽

Information Modeling ◽

Building Information ◽

Design Construction ◽

Design And Construction ◽

Aec Industry

Since the expression "Building Information Modeling" (BIM) was initially presented in the Engineering and Construction AEC industry in the most recent decade; it has changed numerous parts of the design, construction, and operation of a building. BIM is a middleware connector that represents the advancement and utilization of PC. BIM has various frameworks which have been conducted by the pioneers in the BIM industry to enhance the BIM process. There is a study of the reflection of those frameworks on the Egyptian AEC industry to overcome the threats that prevent Egypt from applying BIM technology more broadly. In addition, a comparison is conducted between the successful countries which implemented BIM in their projects and managed to enhance their adoption by examining the local challenges and targets. The countries then made strategies and standards to overcome the aforementioned obstacles. Furthermore, successful actions were applied that can match with the Egyptian industrial requirements. This paper is expected to define the challenges which are facing the Egyptian industry to apply BIM and the potential capabilities of solving those problems. To acquire the vital information to carry on this paper, a questionnaire was created and distributed in the AEC community. The reason for the study was to see how experts consider BIM as a device in the fields of design and construction in general and in the Egyptian industry particularly. The aim of this paper is to propose a framework through several case studies which are discussed, analyzed and compared. The purpose of the analysis is to explore the importance of using BIM. Additionally, exploring the effect of different parameters on implementing BIM helped significantly during the process. It starts with proposing its framework with evaluating matrix that contains attributes to measure its success, moreover, it serves as a great help to the Egyptian companies that make real business decisions about enhancing BIM implementation through this framework.

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Initial Study on Building Information Modeling Adoption Urgency for Architecture Engineering and Construction Industry in Indonesia

MATEC Web of Conferences ◽

10.1051/matecconf/201814706002 ◽

2018 ◽

Vol 147 ◽

pp. 06002

Author(s):

Fauzan Alfi Agirachman ◽

Ilham Fajar Putra ◽

Adam Angkawijaya

Keyword(s):

Construction Industry ◽

Building Information Modeling ◽

Initial Study ◽

Qualitative Approach ◽

Information Modeling ◽

Distribution Analysis ◽

Analysis Method ◽

Building Information ◽

Key Factor ◽

Aec Industry

This paper presents our initial study on Building Information Modeling (BIM) adoption urgency for architecture, engineering and construction (AEC) industry in Indonesia. Currently, BIM is being adopted by many countries around the world because of its’ efficiency and other benefits. Meanwhile, most of AEC industries in Indonesia still using the conventional method and there are no regulations from Indonesian AEC authority for adopting BIM. With that situation, a study of BIM adoption in Indonesian AEC industries is important. This study uses a qualitative approach with explorative type. Input from the survey is evaluated qualitatively using content analysis, distribution analysis and correspondence analysis method. Based on analysis result, it shows that BIM as a mean to encourage a more sustainable approach in AEC industry is still in its development phase but it shows great potentials and it gives stakeholders a better way to achieve sustainable built environment. Current lack of awareness and understanding of BIM in Indonesia, particularly in the education sector, is a key factor that impedes BIM adoption and one that can be addressed by integrating BIM into AEC curriculum. Government and practitioners alike need to develop a strategic roadmap to pave way for successful BIM implementation.

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Building information modeling for facilities management: A literature review and future research directions

Journal of Building Engineering ◽

10.1016/j.jobe.2019.100755 ◽

2019 ◽

Vol 24 ◽

pp. 100755 ◽

Cited By ~ 10

Author(s):

Sandra T. Matarneh ◽

Mark Danso-Amoako ◽

Salam Al-Bizri ◽

Mark Gaterell ◽

Rana Matarneh

Keyword(s):

Literature Review ◽

Building Information Modeling ◽

Information Modeling ◽

Future Research ◽

Facilities Management ◽

Research Directions ◽

Building Information ◽

Future Research Directions

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Development of a tool for measuring building information modeling (BIM) user satisfaction – method selection, scale development and case study

Engineering Construction & Architectural Management ◽

10.1108/ecam-08-2019-0448 ◽

2020 ◽

Vol 27 (9) ◽

pp. 2409-2427

Author(s):

Honglei Liu ◽

Jiule Song ◽

Guangbin Wang

Keyword(s):

User Satisfaction ◽

Building Information Modeling ◽

Measurement Instrument ◽

Triangular Fuzzy Number ◽

Entropy Method ◽

Information Modeling ◽

Content Type ◽

Building Information ◽

Aec Industry

PurposeWith the increasing attention acquired from researchers and practitioners in Architecture, Engineering and Construction (AEC) industry, building information modeling (BIM) has fundamentally changed the approach we design, construct and delivery, as well as operate and maintenance of buildings and civil infrastructures. This study tries to provide an innovative perspective on BIM research. This study aims to analyze the necessity and feasibility of BIM user satisfaction research and define what BIM user satisfaction is, and then to develop a quantitative method for the measurement of BIM user satisfaction.Design/methodology/approachAs it is indicated in the content, BIM user satisfaction is measured by the sum of the user's weighted reactions to a set of factors. To be specific, the entropy method was adopted to calculate the “weighting” of the factors, and the triangular fuzzy number (TFN) method was selected to compute the “scoring” of the factors. Through the literature review, methodology and tool development, as well as case study and discussions, this paper was generated sequentially.FindingsThis study found that the proposed tool for the measurement of BIM success is valid and reliable; it formerly translated the conceptual definition of BIM user satisfaction into an accurate measurement instrument. It also indicated that many factors are affecting the BIM users' satisfaction, and each of the factors inherited various importance and score, and the findings are expected to improve the performance and effectiveness of BIM management.Originality/valueThrough the translation of the conceptual BIM user satisfaction into a valid quantitative measurement instrument, this research provides an excellent framework for the management of BIM from the user's perspective, and it could help to stimulate user's acceptance of BIM in the AEC industry in future.

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