An application of HODMD to predict flutter using NeoCASS

Méndez, Carlos and Le Clainche Martinez, Soledad and Moreno-Ramos, Rubén and Vega de Prada, José M. (2019). An application of HODMD to predict flutter using NeoCASS. In: "8th European Conference for Aeronautics and Space Sciences : EUCASS 2019", 1-4 jul 2019, Madrid, España. pp. 1-8. https://doi.org/10.13009/EUCASS2019-555.

Description

Title: An application of HODMD to predict flutter using NeoCASS
Author/s:
  • Méndez, Carlos
  • Le Clainche Martinez, Soledad
  • Moreno-Ramos, Rubén
  • Vega de Prada, José M.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th European Conference for Aeronautics and Space Sciences : EUCASS 2019
Event Dates: 1-4 jul 2019
Event Location: Madrid, España
Title of Book: EUCASS 2019 : 8th European Conference for Aeronautics and Space Sciences
Date: 2019
Subjects:
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Matemática Aplicada a la Ingeniería Aeroespacial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We present a method based on higher order dynamic mode decomposition (HODMD) to predict aeroelas-tic modes in signals representing fluid-structure interactions. For such aim, some data are generated using an open source solver called NeoCASS (Next generation Conceptual Aero-Structural Sizing Suite), which reproduces real flight test conditions. Symmetric and anti-symmetric aeroelastic modes have been excited in two different numerical experiments. The HODMD-based method is able to detect the frequencies, damping rates and modal shapes of the leading aeroelastic modes with high accuracy. The good performance of this method provides a new and efficient tool, which can be extended to predict flutter in flight test in real time.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTRA2016-75075-RaUnspecifiedUnspecifiedUnspecified

More information

Item ID: 67838
DC Identifier: https://oa.upm.es/67838/
OAI Identifier: oai:oa.upm.es:67838
DOI: 10.13009/EUCASS2019-555
Deposited by: Memoria Investigacion
Deposited on: 07 Oct 2021 09:23
Last Modified: 07 Oct 2021 09:23
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