Wagg, D. orcid.org/0000-0002-7266-2105, Gardner, P. orcid.org/0000-0002-1882-9728, Barthorpe, R. orcid.org/0000-0002-6645-8482 et al. (1 more author) (2019) On key technologies for realising digital twins for structural dynamics applications. In: Barthorpe, R., (ed.) Model Validation and Uncertainty Quantification, Volume 3. 37th IMAC, A Conference and Exposition on Structural Dynamics, 03-06 Jun 2019, Reno, NV, USA. Springer , pp. 267-272. ISBN 9783030120740
Abstract
The term digital twin has gained increasing popularity over the last few years. The concept, loosely based on a virtual model framework that can replicate a particular system for contexts of interest over time, will require the development and integration of several key technologies in order to be fully realised. This paper, focusing on vibration-related problems in mechanical systems, discusses these key technologies as the building blocks of a digital twin. The example of a simulation digital twin that can be used for asset management is then considered. After briefly discussing the building blocks required, the process of data-augmented modelling is selected for detailed investigation. This concept is one of the defining characteristics of the digital twin idea, and using a simple numerical example, it is shown how augmenting a model with data can be used to compensate for the inherent model discrepancy. Finally the implications of this type of data augmentation for future digital twin technology is discussed.
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: | © 2020 Society for Experimental Mechanics, Inc. This is an author-produced version of a paper subsequently published in Proceedings of the 37th IMAC. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Digital twin; Dynamics; Mechanical; Virtualisation; Vibration |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Science Research Council EP/R006768/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 23 Jun 2020 06:28 |
Last Modified: | 24 Jun 2020 06:46 |
Status: | Published |
Publisher: | Springer |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-030-12075-7_30 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:162203 |