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 |

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