Digital twins for bridges – concept of a modular digital twin based on the linked data approach
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Bridges are essential transport infrastructure components that are subjected to degradation due to dynamic loads and environmental impacts. Continuous condition monitoring is essential to ensure the safe and economical use of the structures until the end of their life cycle. Predictive maintenance can be implemented using modern information and communication technologies such as the digital twin (DT) combined with structural health monitoring methods. DTs are virtual real-time representations of structures that collect, evaluate, and provide data for informed decision-making. However, a unified approach still needs to be developed for application in the civil engineering domain. This paper proposes a concept to implement modular DT for bridge structures based on the linked data approach. Modularity is realized by use cases that integrate existing heterogeneous data sources providing a closed view of an aspect. An exemplary implementation of one use case is realized using a containerbased approach.
Details
Original language | English |
---|---|
Title of host publication | Life-Cycle of Structures and Infrastructure Systems - Proceedings of the 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023 |
Editors | Fabio Biondini, Dan M. Frangopol |
Publisher | CRC Press/Balkema |
Pages | 1745-1752 |
Number of pages | 8 |
ISBN (print) | 9781003323020 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Publication series
Series | 2023 International Symposium on Life-Cycle Civil Engineering (IALCCE) |
---|
Conference
Title | 8th International Symposium on Life-Cycle Civil Engineering, IALCCE 2023 |
---|---|
Abbreviated title | IALCCE 2023 |
Conference number | 8 |
Duration | 2 - 6 July 2023 |
Website | |
Degree of recognition | International event |
Location | Politecnico di Milano |
City | Milan |
Country | Italy |
External IDs
ORCID | /0000-0001-8735-1345/work/160479750 |
---|