Kent, C., O’Higgins, C., Hester, D. et al. (4 more authors) (2024) Expanding IE model applications with real-world case studies of bridge structures. In: Whelan, M., Scott Harvey, P. and Moreu, F., (eds.) Dynamics of Civil Structures. 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024, 28-31 Jan 2024, Orlando, Florida. United States. Conference Proceedings of the Society for Experimental Mechanics Series, 2 (1). Springer Nature Switzerland , pp. 87-94. ISBN 9783031688881
Abstract
Structural health monitoring (SHM) provides insights into the health of large civil structures, such as bridges, using data obtained by sensors. Population-based structural health monitoring (PBSHM) takes this a step further, allowing engineers to gain additional insights into structural health by incorporating the sensor data obtained from a population of similar structures instead of individual structures.
To enable the transfer of knowledge between structures, population similarity scoring metrics are being used where structures that have a high similarity will get a high similarity score. The similarity scoring is being achieved through the development of irreducible element (IE) models and graph neural networks (GNNs) in addition to other methods of generating similarity scores. Whilst an initial schema has been developed to facilitate the creation of IE models for various structures, further work needs to be undertaken in order to facilitate the rapid modelling of structures of greater complexity to enable real-world utilisation of PBSHM technology.
This chapter presents work that expands upon the current IE model schema to allow the IE models to more readily represent real-world bridges. Two bridges are investigated with the aim of examining their construction, including their geometrical options, e.g. identifying some of the standard section types commonly found in structures. Following these case studies, expansion recommendations are proposed to the schema related to the geometrical options with the aim of evolving the current version of the IE model schema so that a greater variety of structures, such as bridges or high-guided masts, can be modelled effectively by these IE models.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Dynamics of Civil Structures, Vol. 2 is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Data Management and Data Science; Civil Engineering; Information and Computing Sciences; Engineering; Generic health relevance |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/W005816/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Nov 2024 11:51 |
Last Modified: | 14 Nov 2024 11:51 |
Status: | Published |
Publisher: | Springer Nature Switzerland |
Series Name: | Conference Proceedings of the Society for Experimental Mechanics Series |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-68889-8_10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219564 |
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