Evaluation of Reduced-Order Aerodynamic Models for Transonic Flow over a Multiple-Swept Wing Configuration

Journal Article (2025)
Author(s)

Mehdi Ghoreyshi (USAF Academy)

Pooneh Aref (USAF Academy)

Anastasios Panagiotopoulos (TU Delft - Aerospace Engineering)

Steven Hulshoff (TU Delft - Aerodynamics)

Michel van Rooij (Royal Netherlands Aerospace Centre)

Peter Hans Leonard Blom (TU Delft - Aerospace Engineering, Royal Netherlands Aerospace Centre)

Mario Stradtner (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

Research Group
Aerodynamics
DOI related publication
https://doi.org/10.2514/1.J064753
More Info
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Publication Year
2025
Language
English
Research Group
Aerodynamics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Issue number
10
Volume number
63
Pages (from-to)
4170-4195
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Abstract

This study is a collaborative effort within the NATO Science & Technology Organization, bringing together multiple institutions to advance reduced-order modeling. Aerodynamic reduced-order models were developed using two pseudorandom binary sequence (PRBS) training maneuvers, where the angle of attack and pitch rate varied in a periodic, deterministic manner with white-noise-like properties. The first maneuver maintained a constant Mach number of 0.85, while the second varied Mach from 0.1 to 0.9. The test case involved a generic triple-delta wing, simulated using the DoD HPCMP CREATE™-AV/Kestrel/Kestrel tools. Prescribed-body motion was used to vary input parameters under given freestream conditions. The resulting models predicted static and stability derivatives across different angles of attack and Mach numbers. They were also used to predict aerodynamic responses to arbitrary motions, including sinusoidal, chirp, Schroeder, and step inputs, showing good agreement with full-order data. Additionally, models predicting surface pressure accurately captured upper surface pressures across different spanwise and chordwise locations for both static and dynamic conditions.

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