Statistical evaluation of flutter boundaries from flight flutter test data

Abbasi, Asim; Cooper, Jonathan

doi:10.1017/s0001924000002761

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Once the different frequencies and damping factors for the critical modes have been identified it is necessary to predict the flutter point (the corresponding envelope boundary) from extrapolation. Several methods are described to achieve this objective: [23][24][25][26][27][28] cite the most important, although they are not part of the scope of this paper.…”

Section: Introductionmentioning

confidence: 99%

Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

2021

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Aircraft envelope expansion during new underwing stores installation is a challenging problem, mainly related to the aeroelastic flutter phenomenon. Aeroelastic models are usually very hard to model, and therefore flight tests are usually required to validate the aeroelastic model predictions, which given the catastrophic consequences of reaching the flutter point pose an important problem. This constraint favors using short time excitations like Sine Dwell to perform the flight tests, so that the aircraft stays close to the flutter point as little time as possible, but short time data implies a poor spectrum resolution and therefore leads to inaccurate and non repetitive results. The present paper will address the problem related to processing Sine Dwell signals from aeroelastic Flutter Flight Tests, characterized by very short data length (less than 5 s) and low frequency (less than 10 Hz) and used to identify the natural modes associated with the structure. In particular, a new robust technique, the PRESTO algorithm, will be presented and compared to a Matching Pursuit estimation based on Laplace Wavelet. Both techniques have demonstrated to be very accurate and robust procedures on very short time (Sine Dwell) signals, with the particularity that the Laplace Wavelet estimation has already been validated over F-18 real Flutter Flight Test data as described in different papers. However, the PRESTO algorithm improves the performance and accuracy of the Laplace Wavelet processing while keeping its robustness, both on real and simulated data.

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Section: Introductionmentioning

confidence: 99%

Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

2021

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Probabilistic prediction of coalescence flutter using measurements: Application to the flutter margin method

Chajjed

Poirel

Pettit

et al. 2024

Journal of Sound and Vibration

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An overview of methods for investigation of aeroelastic response on high aspect ratio fixed-winged aircraft

Khan

Javed

Mumtaz

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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The thrust of increasing environmental and economic constraints on aircraft has enthused accelerated research in design of more economical and higher performance aircraft. Extensive experience in aerodynamic has established the use of high aspect ratio wings to improve the lift-to-drag ratio, a key parameter in determination of aircraft efficiency. Application of long slender wings has even more so intensified in the last decade due to emerging need for medium-to-high altitude long endurance (MALE/HALE) unmanned aerial vehicles (UAVs). However, such a wing comes at a trade-off of efficiency and safety. Longer wings tend of be more flexible and easily deform under load, hence are more vulnerable to the detrimental nature of aeroelastic effects. Divergence, control reversal and flutter are some major aeroelastic effects, which range from mere discomfort to complete destruction of body in flight. UAVs are most susceptible to this behaviour as their design incorporates very high aspect ratio wings. Numerous researches are available in literature which have focused on the explanation, calculation, and suppression of aeroelasticity; a subject which is as old as first heavier-than-air flight. This paper has attempted to cover the major aspect of aeroelasticity and summarize the state-of-the-art methods and approaches proposed by esteemed authors in this field for flutter prediction and suppression.

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Statistical evaluation of flutter boundaries from flight flutter test data

Cited by 3 publications

References 30 publications

Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

Multimodal Estimation of Sine Dwell Vibrational Responses from Aeroelastic Flutter Flight Tests

Probabilistic prediction of coalescence flutter using measurements: Application to the flutter margin method

An overview of methods for investigation of aeroelastic response on high aspect ratio fixed-winged aircraft

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