Flight flutter testing is mandatory for aircraft certification; however it is a risky, lengthy and costly process with ever-growing demand for shorter and cheaper as well as online testing tools. This research has dealt with two key issues and the methods developed have been validated on simulated aeroelastic data sets. Firstly, the flutter boundaries are evaluated using statistical confidence criteria based on Least Squares statistics and eigenvalue perturbation theory rooting from noise statistics in the response data from a single flight test outdoing the need for Monte Carlo simulations or repeated tests. The approach is employed on three different flutter prediction tools: Damping Extrapolation method, Flutter Margin method and Envelope Function method. Results from the first two methods showed widening of the confidence bounds with increasing noise whilst the third method remained robust to it. The other research problem involves the development of an online flutter prediction tool using the Envelope Function method. The original approach is extended by making direct use of the chirp response to predict the flutter speed and is applicable to both offline and online versions.
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Flight flutter testing is mandatory for aircraft certification; however it is a risky, lengthy and costly process with ever-growing demand for shorter and cheaper as well as online testing tools. This research has dealt with two key issues and the methods developed have been validated on simulated aeroelastic data sets. Firstly, the flutter boundaries are evaluated using statistical confidence criteria based on Least Squares statistics and eigenvalue perturbation theory rooting from noise statistics in the response data from a single flight test outdoing the need for Monte Carlo simulations or repeated tests. The approach is employed on three different flutter prediction tools: Damping Extrapolation method, Flutter Margin method and Envelope Function method. Results from the first two methods showed widening of the confidence bounds with increasing noise whilst the third method remained robust to it. The other research problem involves the development of an online flutter prediction tool using the Envelope Function method. The original approach is extended by making direct use of the chirp response to predict the flutter speed and is applicable to both offline and online versions.
Dr Abbasi did Bachelors in Mechanical Engineering from University of Engineering and Technology, Taxila, Pakistan in 1999 and PhD in Aeronautical Engineering from University of Manchester, UK in 2009. His main research interests include aeroelastic modelling, flight flutter testing, modal analysis, system identification and structural dynamics.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Flight flutter testing is mandatory for aircraft certification; however it is a risky, lengthy and costly process with ever-growing demand for shorter and cheaper as well as online testing tools. This research has dealt with two key issues and the methods developed have been validated on simulated aeroelastic data sets. Firstly, the flutter boundaries are evaluated using statistical confidence criteria based on Least Squares statistics and eigenvalue perturbation theory rooting from noise statistics in the response data from a single flight test outdoing the need for Monte Carlo simulations or repeated tests. The approach is employed on three different flutter prediction tools: Damping Extrapolation method, Flutter Margin method and Envelope Function method. Results from the first two methods showed widening of the confidence bounds with increasing noise whilst the third method remained robust to it. The other research problem involves the development of an online flutter prediction tool using the Envelope Function method. The original approach is extended by making direct use of the chirp response to predict the flutter speed and is applicable to both offline and online versions. 248 pp. Englisch. N° de réf. du vendeur 9783844330786
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abbasi AsimDr Abbasi did Bachelors in Mechanical Engineering from University of Engineering and Technology, Taxila, Pakistan in 1999 and PhD in Aeronautical Engineering from University of Manchester, UK in 2009. His main research int. N° de réf. du vendeur 5473463
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Taschenbuch. Etat : Neu. Advances in Flight Flutter Testing Techniques | Incorporating statistical confidence bounds and online stability indication approaches into a flight flutter test | Asim Abbasi | Taschenbuch | 248 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844330786 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107018838
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Flight flutter testing is mandatory for aircraft certification; however it is a risky, lengthy and costly process with ever-growing demand for shorter and cheaper as well as online testing tools. This research has dealt with two key issues and the methods developed have been validated on simulated aeroelastic data sets. Firstly, the flutter boundaries are evaluated using statistical confidence criteria based on Least Squares statistics and eigenvalue perturbation theory rooting from noise statistics in the response data from a single flight test outdoing the need for Monte Carlo simulations or repeated tests. The approach is employed on three different flutter prediction tools: Damping Extrapolation method, Flutter Margin method and Envelope Function method. Results from the first two methods showed widening of the confidence bounds with increasing noise whilst the third method remained robust to it. The other research problem involves the development of an online flutter prediction tool using the Envelope Function method. The original approach is extended by making direct use of the chirp response to predict the flutter speed and is applicable to both offline and online versions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 248 pp. Englisch. N° de réf. du vendeur 9783844330786
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Flight flutter testing is mandatory for aircraft certification; however it is a risky, lengthy and costly process with ever-growing demand for shorter and cheaper as well as online testing tools. This research has dealt with two key issues and the methods developed have been validated on simulated aeroelastic data sets. Firstly, the flutter boundaries are evaluated using statistical confidence criteria based on Least Squares statistics and eigenvalue perturbation theory rooting from noise statistics in the response data from a single flight test outdoing the need for Monte Carlo simulations or repeated tests. The approach is employed on three different flutter prediction tools: Damping Extrapolation method, Flutter Margin method and Envelope Function method. Results from the first two methods showed widening of the confidence bounds with increasing noise whilst the third method remained robust to it. The other research problem involves the development of an online flutter prediction tool using the Envelope Function method. The original approach is extended by making direct use of the chirp response to predict the flutter speed and is applicable to both offline and online versions. N° de réf. du vendeur 9783844330786
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