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Uncertainties quantification of CFD-based flutter prediction

Uncertainties quantification of CFD-based flutter prediction
Uncertainties quantification of CFD-based flutter prediction
This study uses Non-Intrusive Polynomial Chaos Expansion (NIPCE) to propagate uncertainties related to flow parameters and geometry imperfections. The test case is a two-dimensional transonic aeroelastic problem, the extension to a three-dimensional test case is in progress. The main motivation behind this investigation is the large scatter observed in the results of the third test case of the Second aeroelastic Prediction Workshop. The analysis shows that plausible ranges of uncertainty associated with the chosen Random Variables generates a large scatter in quantities of interest such as Flutter Speed. The study also shows that NIPCE can be very effective and efficient in reducing the computational costs of such an investigation. The higher polynomial orders clearly show the non-linearity of the physics involved.
Aerospace Research Central
Righi, Marcello
07b278f4-014c-49ac-a206-8654cf405d75
Greco, Pietro
c4794e96-3b7a-4102-b4be-c5595892f332
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a
Righi, Marcello
07b278f4-014c-49ac-a206-8654cf405d75
Greco, Pietro
c4794e96-3b7a-4102-b4be-c5595892f332
Da Ronch, Andrea
a2f36b97-b881-44e9-8a78-dd76fdf82f1a

Righi, Marcello, Greco, Pietro and Da Ronch, Andrea (2021) Uncertainties quantification of CFD-based flutter prediction. In AIAA Scitech 2021 Forum. Aerospace Research Central.. (doi:10.2514/6.2021-1038).

Record type: Conference or Workshop Item (Paper)

Abstract

This study uses Non-Intrusive Polynomial Chaos Expansion (NIPCE) to propagate uncertainties related to flow parameters and geometry imperfections. The test case is a two-dimensional transonic aeroelastic problem, the extension to a three-dimensional test case is in progress. The main motivation behind this investigation is the large scatter observed in the results of the third test case of the Second aeroelastic Prediction Workshop. The analysis shows that plausible ranges of uncertainty associated with the chosen Random Variables generates a large scatter in quantities of interest such as Flutter Speed. The study also shows that NIPCE can be very effective and efficient in reducing the computational costs of such an investigation. The higher polynomial orders clearly show the non-linearity of the physics involved.

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More information

e-pub ahead of print date: 4 January 2021
Venue - Dates: AIAA Scitech 2021 Forum, Virtual, 2021-01-11 - 2021-01-21

Identifiers

Local EPrints ID: 484023
URI: http://eprints.soton.ac.uk/id/eprint/484023
PURE UUID: 3b6c8cde-f283-4e05-a976-d6d4f0bcfa4c
ORCID for Andrea Da Ronch: ORCID iD orcid.org/0000-0001-7428-6935

Catalogue record

Date deposited: 09 Nov 2023 17:32
Last modified: 18 Mar 2024 03:25

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Contributors

Author: Marcello Righi
Author: Pietro Greco
Author: Andrea Da Ronch ORCID iD

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