Digital Twins in the Sustainable Construction Industry

被引:2
|
作者
Zahedi, Foad [1 ]
Alavi, Hamidreza [2 ]
Sardroud, Javad Majrouhi [3 ]
Dang, Hongtao [1 ]
机构
[1] Washington State Univ, Sch Design & Construct, Pullman, WA 99164 USA
[2] Univ Cambridge, Dept Engn, Cambridge CB3 0FA, England
[3] Islamic Azad Univ, Fac Civil & Earth Resources Engn, Dept Civil Engn, Cent Tehran Branch, Tehran 1469669191, Iran
关键词
BIM; construction; critical review; Digital Twin; scientometric analysis; sustainability; INFORMATION MODELING BIM; SCIENTOMETRIC ANALYSIS; BLOCKCHAIN TECHNOLOGY; FAULT-DIAGNOSIS; CHALLENGES; FRAMEWORK; IMPLEMENTATION; INTEGRATION; MANAGEMENT; TRENDS;
D O I
10.3390/buildings14113613
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Digital Twin (DT) technology, as the evolution of Building Information Modeling (BIM), has emerged to address global concerns regarding the environmental impacts of the construction industry and to meet sustainability indicators. Despite numerous studies targeting the integration of DT and sustainability, there is a noticeable gap in creating a comprehensive overview of the efforts and future directions in this field. Therefore, this research aims to provide both a scientometric analysis and a thematic review of 235 papers extracted from the Scopus database. These papers, all published between 2017 and 2024, focus on previous efforts, current trends, and future directions of using the Digital Twin for construction sustainability. In addition, 34 papers that were cited more than 20 times were classified by the application into four categories: simulation, technology integration, smart systems, and literature review. Furthermore, regarding the application of smart systems in sustainability, the authors discussed applications of BIM-DT in smart construction, smart buildings, smart infrastructures, and smart cities based on the most-cited papers. Subsequently, five research gaps were identified and suggested for future investigation. The research gives a holistic insight into the current trend of DT among researchers, previous achievements, and future directions.
引用
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页数:33
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