Identification of backbone curves of nonlinear systems from resonance decay responses
- Submitting institution
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University of Exeter
- Unit of assessment
- 12 - Engineering
- Output identifier
- 1965
- Type
- D - Journal article
- DOI
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10.1016/j.jsv.2015.03.015
- Title of journal
- Journal of Sound and Vibration
- Article number
- -
- First page
- 224
- Volume
- 348
- Issue
- -
- ISSN
- 0022-460X
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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D - Dynamics and Control
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work received the prestigious Doak Award from Elsevier as the most successful paper in the journal JSV during 2019. Funded by EPSRC (£4.2M, EP/K003836/1), this paper proposes a fast but powerful technique to extract fundamental dynamic characteristics of nonlinear structures from vibration data enabling their accurate modelling, potentially revolutionising the fine-tuning of aerospace digital twins. Results attracted large interest from international research groups including Imperial College London (L. Renson, l.renson@imperial.ac.uk) and Rice University (M. Brake, brake@rice.edu). This has led to new international collaborations and current joint publications with Sandia National Laboratories.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -