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.

Keywords:
Bridges, Digital Twins, Bridge Information Modelling, Finite Elements, Bridge Health Monitoring, Anomaly Detection Algorithms, Cultural Heritage

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

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

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering