Air pollution and global warming are intensifying the need for lower-impact aviation technologies, motivating the development of highly flexible wings that offer significant potential for fuel-efficiency improvements. These configurations, however, present substantial aeroelastic challenges, as their structural dynamics and stability depend strongly on static deformation. CFD-based modeling of highly flexible wings such as the Pazy wing is therefore particularly relevant, as it captures nonlinear aerodynamic effects that lie beyond the fidelity of reduced-order or linearized formulations. As part of a broader collaboration between RMIT University and La Sapienza, the original Pazy wing experimental campaign is used here to validate PyFSI, a CFD-based aeroservoelastic simulation framework developed at RMIT University. This benchmarking study includes the prediction of (i) static deformations, (ii) modal characteristics, and (iii) time-marching CFD-based aeroelastic simulations to reproduce the hump-mode flutter mechanism and characterize the associated unsteady aerodynamics, particularly boundary-layer separation. The demonstrated agreement with experimental observations highlights the suitability of CFD-based aeroelastic modeling for analyzing next-generation ultra-flexible lifting surfaces. Although the present validation is performed at a moderate angle of attack of 5o, the modeling framework is well suited to high-AOA conditions where large-scale separation and dynamic stall phenomena are expected to dominate the aeroelastic response, and extending the approach to these regimes is the subject of ongoing work.

High-Fidelity Aeroelastic Predictions of a Very Flexible Wing / Candon, Michael J.; Tohmuang, Sitthichart; Delgado-Gutiérrez, Arturo J.; Marzocca, Pier; Antonini, Daniele; Coppotelli, Giuliano; Righi, Marcello. - (2026). ( AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026 Orlando, FL (USA) ) [10.2514/6.2026-1056].

High-Fidelity Aeroelastic Predictions of a Very Flexible Wing

Marzocca, Pier;Coppotelli, Giuliano
;
2026

Abstract

Air pollution and global warming are intensifying the need for lower-impact aviation technologies, motivating the development of highly flexible wings that offer significant potential for fuel-efficiency improvements. These configurations, however, present substantial aeroelastic challenges, as their structural dynamics and stability depend strongly on static deformation. CFD-based modeling of highly flexible wings such as the Pazy wing is therefore particularly relevant, as it captures nonlinear aerodynamic effects that lie beyond the fidelity of reduced-order or linearized formulations. As part of a broader collaboration between RMIT University and La Sapienza, the original Pazy wing experimental campaign is used here to validate PyFSI, a CFD-based aeroservoelastic simulation framework developed at RMIT University. This benchmarking study includes the prediction of (i) static deformations, (ii) modal characteristics, and (iii) time-marching CFD-based aeroelastic simulations to reproduce the hump-mode flutter mechanism and characterize the associated unsteady aerodynamics, particularly boundary-layer separation. The demonstrated agreement with experimental observations highlights the suitability of CFD-based aeroelastic modeling for analyzing next-generation ultra-flexible lifting surfaces. Although the present validation is performed at a moderate angle of attack of 5o, the modeling framework is well suited to high-AOA conditions where large-scale separation and dynamic stall phenomena are expected to dominate the aeroelastic response, and extending the approach to these regimes is the subject of ongoing work.
2026
AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026
Structural Dynamics, Operational Modal Analysis, Aeroelasticity, LCO
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
High-Fidelity Aeroelastic Predictions of a Very Flexible Wing / Candon, Michael J.; Tohmuang, Sitthichart; Delgado-Gutiérrez, Arturo J.; Marzocca, Pier; Antonini, Daniele; Coppotelli, Giuliano; Righi, Marcello. - (2026). ( AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026 Orlando, FL (USA) ) [10.2514/6.2026-1056].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1765654
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