#7575. Enhancing dam safety evaluation using dam digital twins

October 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Ocean Engineering;
Building and Construction;
Safety, Risk, Reliability and Quality;
Mechanical Engineering;
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
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Abstract:
Comprehensive evaluation of dams in a dynamic and proactive way is accepted as an effective strategy to improve dam safety. However, there is a lack of efficient and standardised approaches for managing monitoring-related information that can help to provide dynamic and reliable information for continuous dam evaluation. With the importance of digital twins (DTs) being proven in better data integration and interoperability, a DT-based approach for comprehensive dam evaluation and its data integration method based on extended industry foundation classes (IFC) are provided in this study. This paper presents a new data structure and corresponding data classification strategy, using which information required for continuous evaluation can be effectively organised.
Keywords:
building information modelling; cloud model; comprehensive dam evaluation; dam monitoring system; Digital twins; industry foundation classes; long-term monitoring

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