Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges

Giglioni, V., Poole, J. orcid.org/0000-0002-7642-9108, Mills, R. et al. (3 more authors) (2025) Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges. Mechanical Systems and Signal Processing, 224. 112151. ISSN 0888-3270

Abstract

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Item Type: Article
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© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ ).

Keywords: Bridge monitoring; Population-based SHM; Transfer learning; Domain adaptation; Damage classification; Experimental bridge model
Dates:
  • Published: February 2025
  • Published (online): 26 November 2024
  • Accepted: 11 November 2024
  • Submitted: 25 July 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering
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/W005816/1
Depositing User: Symplectic Sheffield
Date Deposited: 05 Mar 2025 12:39
Last Modified: 05 Mar 2025 12:39
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: 10.1016/j.ymssp.2024.112151
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