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Aerodynamic optimisation of civil aero-engine nacelles by dimensionality reduction and multi-fidelity techniques.
- Source :
-
International Journal of Numerical Methods for Heat & Fluid Flow . 2023, Vol. 33 Issue 4, p1336-1353. 18p. - Publication Year :
- 2023
-
Abstract
- Purpose: Aerodynamic shape optimisation is complex because of the high dimensionality of the problem, the associated non-linearity and its large computational cost. These three aspects have an impact on the overall time of the design process. To overcome these challenges, this paper aims to develop a method for transonic aerodynamic design with dimensionality reduction and multifidelity techniques. Design/methodology/approach: The developed methodology is used for the optimisation of an installed civil ultra-high bypass ratio aero-engine nacelle. As such, the effects of airframe-engine integration are considered during the optimisation routine. The active subspace method is applied to reduce the dimensionality of the problem from 32 to 2 design variables with a database compiled with Euler computational fluid dynamics (CFD) calculations. In the reduced dimensional space, a co-Kriging model is built to combine Euler lower-fidelity and Reynolds-averaged Navier stokes higher-fidelity CFD evaluations. Findings: Relative to a baseline aero-engine nacelle derived from an isolated optimisation process, the proposed method yielded a non-axisymmetric nacelle configuration with an increment in net vehicle force of 0.65% of the nominal standard net thrust. Originality/value: This work investigates the viability of CFD optimisation through a combination of dimensionality reduction and multifidelity method and demonstrates that the developed methodology enables the optimisation of complex aerodynamic problems. [ABSTRACT FROM AUTHOR]
- Subjects :
- *AERODYNAMICS of buildings
*COMPUTATIONAL fluid dynamics
*DATABASE design
Subjects
Details
- Language :
- English
- ISSN :
- 09615539
- Volume :
- 33
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- International Journal of Numerical Methods for Heat & Fluid Flow
- Publication Type :
- Periodical
- Accession number :
- 163268579
- Full Text :
- https://doi.org/10.1108/HFF-06-2022-0368