A novel method for predicting the response variability of friction-damped gas turbine blades
- Submitting institution
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University of Cambridge
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7939
- Type
- D - Journal article
- DOI
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10.1016/j.jsv.2018.10.013
- Title of journal
- Journal of Sound and Vibration
- Article number
- -
- First page
- 372
- Volume
- 440
- Issue
- -
- ISSN
- 0022-460X
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- 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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4
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work, which applies to general parametric uncertainty in gas turbines, contributed to the award of a new project (value £410k) funded by Mitsubishi Heavy Industries. This work led, in part, to an invited keynote presentation at APVC 2019 in Sydney (Asian Pacific Vibration Conference).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -