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.
Numerous countries are trying to find the best solution for conservation, restoration or reuse of the heritage buildings, preserving their cultural, historical, ethnic and spiritual values. The scientists, researchers and government are analysing the problems concerning with heritage building’s, like seismic issues, energy saving, sustainability, structures, materials and adaptive reuse. Since, heritage buildings’ reuse and preservation are characterized by multiple criteria, a multi-criteria decision making (MCDM) methods are useful in finding rational solutions for the previously mentioned problems. The current paper aims to overview papers on the MCDM approaches application in regard to heritage buildings’ reuse and preservation area. This study employs a bibliometric data analysis to explore state-of-the-art of the defined topic and an in-deep analysis – to synthesize the knowledge domain and critically evaluate a thorough literature in the analysed topic. As a result, scientific maps were created to reveal the knowledge domain of MCDM approaches in heritage buildings’ reuse and preservation. Finally, research gaps and future research directions are identified. Results of the analysis shows that till now MCDM approaches are not widely used in solving heritage buildings reuse and preservation issues. Moreover, there is luck of complex problem solving approach in cultural heritage buildings area.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.