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AuthorJiménez Rios, A.
AuthorPlevris, Vagelis
AuthorNogal, Maria
Available date2024-10-02T05:59:48Z
Publication Date2023
Publication NameFrontiers in Built Environment
ResourceScopus
ISSN22973362
URIhttp://dx.doi.org/10.3389/fbuil.2023.1176621
URIhttp://hdl.handle.net/10576/59647
AbstractBridge infrastructure has great economic, social, and cultural value. Nevertheless, many of the infrastructural assets are in poor conservation condition as has been recently evidenced by the collapse of several bridges worldwide. The objective of this systematic review is to collect and synthesize state-of-the-art knowledge and information about how bridge information modeling, finite element modeling, and bridge health monitoring are combined and used in the creation of digital twins (DT) of bridges, and how these models could generate damage scenarios to be used by anomaly detection algorithms for damage detection on bridges, especially in bridges with cultural heritage value. A total of 76 relevant studies from 2017 up to 2022 have been taken into account in this review. The synthesis results show a consensus toward the future adoption of DT for bridge design, management, and operation among the scientific community and bridge practitioners. The main gaps identified are related to the lack of software interoperability, the required improvement of the performance of anomaly-detection algorithms, and the approach definition to be adopted for the integration of DT at the macro scale. Other potential developments are related to the implementation of Industry 5.0 concepts and ideas within DT frameworks.
SponsorThis project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 101066739. The APC was funded by Oslo Metropolitan University.
Languageen
PublisherFrontiers Media S.A.
Subjectanomaly detection algorithms
bridge health monitoring
bridge information modeling
bridges
cultural heritage conservation
digital twins
finite element method
TitleBridge management through digital twin-based anomaly detection systems: A systematic review
TypeArticle Review
Volume Number9
dc.accessType Open Access


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