A priori grid quality estimation for high-order finite differencing
- Submitting institution
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University of Southampton
- Unit of assessment
- 12 - Engineering
- Output identifier
- 34302632
- Type
- D - Journal article
- DOI
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10.1016/j.jcp.2016.03.063
- Title of journal
- Journal of Computational Physics
- Article number
- -
- First page
- 629
- Volume
- 315
- Issue
- -
- ISSN
- 0021-9991
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2016
- 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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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper outlines a grid quality metric that is uniquely simple to evaluate, which also correlates strongly to the solution accuracy. Regions of a mesh that are likely to be significant sources of grid-‐induced errors are correctly identified by the method. The method proposed in this article has been used to generate computational grids used in high-order CAA simulations conducted at the Airbus Noise Technology Centre (ANTC) at the University of Southampton. The simulations are used to validate analytical models developed at ANTC and used by Airbus to predict counter-rotating open rotor noise (thomas.node-langlois@airbus.com).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -