Options
Digital twins, architectures, and elements in civil engineering – A multivocal literature review
Publikationstyp
Conference Paper
Date Issued
2024-08
Sprache
English
Author(s)
Al-Nasser, Heba
Al-Zuriqat, Thamer
Citation
International Conference on Computing in Civil and Building Engineering, ICCCBE 2024
Contribution to Conference
International Conference on Computing in Civil and Building Engineering, ICCCBE 2024
Scopus ID
A plenitude of digital twin reviews have been published in recent years, most of which, however, solely review project-specific digital twin implementations or focus on specific application areas within civil engineering. Digital twin architectures, including the composition of the internal elements of digital twins, have received little attention so far. A common understanding of digital twin architectures and the composition of their elements would advance digital twin implementations, enhancing the reliability and performance of digital twins. In this study, a multivocal review of digital twins in civil engineering is conducted, aiming to provide a scientific basis for reaching a consensus on the abstract architecture and the composition of the internal elements of digital twins. Methodologically, the review is conducted in a twofold manner, accounting for both peer-reviewed, indexed literature, as well as for material that may report on research and development projects and industrial applications not indexed in well-accepted citation databases. The main contribution of this study is a systematic overview of existing architectures of digital twins implemented in civil engineering, including the internal elements. Furthermore, a generic reference architecture of digital twins is proposed, and digital twins are defined in both an informal and formal (i.e., mathematical) manner. It is expected that the reference architecture and the definitions proposed in this study will serve as a blueprint for digital twin implementations in civil engineering, providing a common understanding and enhancing the reliability and performance of digital twins.
DDC Class
600: Technology