Artículo

Development and Application of Digital Twin Technique in Steel Structures

Resumen

Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a digital model and continuously updating it with real-time monitoring data. To determine the development and application status of the digital twin technique in steel structures, a review drawn on the latest literature from the past fifteen years was conducted. The bibliometric analysis and innovation discussion of these studies primarily focused on publication details, keyword information, and application specifics. Additionally, significant attention was given to the evolution of digital twin definitions, modeling methodologies, and application fields. The analysis results indicate that the digital twin technique in steel structures has made significant advancements in both its definition and modeling methodologies, thanks to worldwide contributions. Meanwhile, this technique also demonstrates advantages in the applications of material deformation, structural monitoring, infrastructure maintenance, and fatigue assessment. Based on this review of the existing literature, the future development of the digital twin technique in steel structures should focus on model innovation, application expansion, and performance optimization.
Bulto, Tadesse Weyuma (57218921685); Chebo, Abdella Kosa (57211658384); Regassa, Hailu Fufa (59527811700); Werku, Birhanu Chalchisa (57793656500); Kloos, Helmut (26643043000)
Scientific mapping of the nexus between entrepreneurial orientation and environmental sustainability: bibliometric analysis
2024
10.3389/fsoc.2024.1461840
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216004215&doi=10.3389%2ffsoc.2024.1461840&partnerID=40&md5=eb475c40557b00c5f84aa42ba2e3e68d
Department of Management, Kotebe University of Education, Addis Ababa, Ethiopia; Department of Business Management, University of Johannesburg, Johannesburg, South Africa; Department of Sociology, Ambo University, Oromia, Ethiopia; Faculty of Resource Management and Economics, Wollega University, Nekemte, Ethiopia; Department of Rural Development and Agricultural Extension, Jimma University, Jimma, Ethiopia; Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, United States
All Open Access; Gold Open Access
Scopus
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