Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review
This database contains all the bibliographic information about the 8673 records found after applying the Search Strategy used for the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review. Such strategy consisted on using seven initial keywords and similar terms of interest (namely: bridge and bridges, etc.):
- Bridge.
- Digital twin.
- Bridge information modelling.
- Finite elements.
- Bridge health monitoring.
- Anomaly detection algorithm.
- Cultural heritage.
Six initial queries were done combining the first keyword with the rest of them:
- bridge* AND "digital twin*"
- bridge* AND (BrIM OR "bridge information model*")
- bridge* AND (FEM OR FEA OR "finite element method*" OR "finite element analy*")
- bridge* AND ("bridge health monitoring" OR "structural health monitoring")
- bridge* AND (ADA OR "anomaly detection algorithm*")
- bridge* AND ("cultural heritage" OR "monument* bridge*" OR "old bridge*" OR "ancient bridge*" OR "historic* bridge*")
As a first screening step, the combination of these 6 initial searches was done to obtain relevant works containing at least three of the main keywords of interest: #1 AND #2; #1 AND #3; #1 AND #4; #1 AND #5; #1 AND #6; #2 AND #3; #2 AND #4; #2 AND #5; #2 AND #6; #3 AND #4; #3 AND #5; #3 AND #6; #4 AND #5; #4 AND #6; #5 AND #6.
All records found in Scopus where downloaded both in .ris and .csv format and are included in this database. The search was conducted on 10/12/2022. Note: Searches 10, 14, 17 and 21 did not return any records.
Cite this dataset as:
Jimenez Rios, A.,
Plevris, V.,
Nogal, M.,
2023.
Bibliographic Data from the Digital Twin Anomaly Detection Decision-Making for Bridge Management Systematic Review.
Zenodo.
Available from: https://doi.org/10.5281/zenodo.7548017.
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Creators
Alejandro Jimenez Rios
Oslo Metropolitan University
Vagelis Plevris
Qatar University
Maria Nogal
Delft University of Technology
Funders
Horizon Europe Marie Skłodowska-Curie Actions
https://doi.org/10.13039/100018694
Digital Twin Anomaly Detection Decision-Making for Bridge Management
101066739
Publication details
Publication date: 18 January 2023
by: Zenodo
Version: 1
DOI: https://doi.org/10.5281/zenodo.7548017
URL for this record: https://researchdata.bath.ac.uk/1549
Related papers and books
Jiménez Rios, A., Plevris, V., and Nogal, M., 2023. Bridge management through digital twin-based anomaly detection systems: A systematic review. Frontiers in Built Environment, 9. Available from: https://doi.org/10.3389/fbuil.2023.1176621.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Alejandro Jimenez Rios
Faculty of Engineering & Design
Architecture & Civil Engineering