Predicting vortex merging and ensuing turbulence characteristics in shear layers from initial conditions
- Submitting institution
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University of Dundee
- Unit of assessment
- 12 - Engineering
- Output identifier
- 40339175
- Type
- D - Journal article
- DOI
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10.1017/jfm.2019.721
- Title of journal
- Journal of Fluid Mechanics
- Article number
- R4
- First page
- -
- Volume
- 878
- Issue
- -
- ISSN
- 0022-1120
- Open access status
- Compliant
- Month of publication
- September
- 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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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this work, the fundamental understanding of vortex merging was described using a simple reduced order model, which allowed predictability of the highly nonlinear merging pattern from the initial linear state of the system. This work can underpin vortex merging patterns from industrial systems to planetary atmospheres, and the ensuing inverse cascade of energy. The paper led to invited talks at the Universities of Loughborough and St. Andrews.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -