Damping Identification Sensitivity in Flutter Speed Estimation Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.3390/vibration8020024
Predicting flutter remains a key challenge in aeroelastic research, with certain models relying on modal parameters, such as natural frequencies and damping ratios. These models are particularly useful in early design stages or for the development of small Unmanned Aerial Vehicles (maximum take-off mass below 7 kg). This study evaluates two frequency-domain system identification methods, Fast Relaxed Vector Fitting (FRVF) and the Loewner Framework (LF), for predicting the flutter onset speed of a flexible wing model. Both methods are applied to extract modal parameters from Ground Vibration Testing data, which are subsequently used to develop a reduced-order model with two degrees of freedom. The results indicate that FRVF- and LF-informed models provide reliable flutter speed, with predictions deviating by no more than 3% (FRVF) and 5% (LF) from the N4SID-informed benchmark. The findings highlight the sensitivity of flutter speed predictions to damping ratio identification accuracy and demonstrate the potential of these methods as computationally efficient alternatives for preliminary aeroelastic assessments.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/vibration8020024
- https://www.mdpi.com/2571-631X/8/2/24/pdf?version=1747387325
- OA Status
- gold
- Cited By
- 1
- References
- 54
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410441755
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410441755Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/vibration8020024Digital Object Identifier
- Title
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Damping Identification Sensitivity in Flutter Speed EstimationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-16Full publication date if available
- Authors
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Gabriele Dessena, Alessandro Pontillo, Marco Civera, Dmitry Ignatyev, James F. Whidborne, Luca Zanotti FragonaraList of authors in order
- Landing page
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https://doi.org/10.3390/vibration8020024Publisher landing page
- PDF URL
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https://www.mdpi.com/2571-631X/8/2/24/pdf?version=1747387325Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2571-631X/8/2/24/pdf?version=1747387325Direct OA link when available
- Concepts
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Sensitivity (control systems), Flutter, Identification (biology), Estimation, Control theory (sociology), Computer science, Engineering, Physics, Mechanics, Artificial intelligence, Aerodynamics, Electronic engineering, Biology, Control (management), Botany, Systems engineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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54Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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