On the influence of uncertainty in computational simulations of a high-speed jet flow from an aircraft exhaust
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 12 - Engineering
- Output identifier
- 22389
- Type
- D - Journal article
- DOI
-
10.1016/j.compfluid.2018.12.003
- Title of journal
- Computers & Fluids
- Article number
- -
- First page
- 139
- Volume
- 180
- Issue
- UNSPECIFIED
- ISSN
- 0045-7930
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The framework 7 project, AeroTraNet 2, funded the modelling and uncertainty research. The work provides efficient techniques for uncertainty quantification leading to significant understanding of the propagation of uncertainties in high-speed jet flow from an aircraft exhaust. The work generated one collaboration with Alstom (now GE), Ruby, in an application to their fluid dynamics simulation software. A public address lecture (held 03/05/2016) entitled "The use of mathematics and its influence in the way knowledge and data management" is used in the industry‚ presented by the first author, the collaborator from GE and the lead partner of the AeroTrNet 2 project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
