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A multivocal literature review of digital twins, architectures, and elements in civil engineering
Citation Link: https://doi.org/10.15480/882.13287
Publikationstyp
Conference Paper
Date Issued
2024-07-01
Sprache
English
Author(s)
Al-Zuriqat, Thamer
Al-Nasser, Heba
TORE-DOI
Citation
11th European Workshop on Structural Health Monitoring, EWSHM 2024
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
NDT.net
Structural health monitoring strategies in civil engineering increasingly leverage digital twins, supporting predictive maintenance and data-driven decision-making. Despite the widespread adoption of digital twin applications in structural health monitoring (SHM), there is a lack of agreement on a common definition of digital twins. Although a significant number of digital twin definitions have been proposed and a plethora of reviews have been published, little emphasis has been given to digital twin architectures and internal elements. This paper presents a multivocal review of digital twins in civil engineering, aiming to provide a panorama of the digital twin landscape in civil engineering with explicit insights into the architectures and internal elements used in digital twin applications. From a methodological standpoint, the review follows a twofold approach that encompasses (i) peer-reviewed, indexed literature (“white literature”) as well as (ii) non-indexed sources (“gray literature”) that include industrial digital twin applications. Furthermore, drawing from the review results, a digital twin definition is formulated and a generic digital twin reference architecture is proposed. It is expected that the definition and the generic reference architecture proposed in this study may serve as a blueprint for digital-twin-based SHM applications, with significant implications for researchers, practitioners, and policymakers in structural health monitoring.
Subjects
digital twin architectures
digital twin elements
Digital twins
multivocal literature review
reference architecture
DDC Class
004: Computer Sciences
624.1: Structural Engineering
Publication version
publishedVersion
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Name
150_manuscript.pdf
Type
Main Article
Size
554.36 KB
Format
Adobe PDF