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Grant: Discovery Grants Program - Individual

Royal Military College of Canada

$21,000.00

System identification and signal processing for nonlinear aeroelastic systems

EF 2011-12

Résumé
The objective of this research program is to develop and validate, both numerically and experimentally, a set of analytical tools for the identification and characterization of nonlinear aeroelastic systems, with a specific focus on globally linear systems containing isolated nonlinearities. The tools will be time, frequency and time-frequency based and will be used to 1) identify nonlinear aeroelastic systems from non-critical test data, 2) characterize aeroelastic nonlinearities and 3) extract linear and nonlinear system parameters in order to predict transient, uncertain and unstable behaviours such as limit cycle oscillations and chaos. The research program combines numerical modeling, experimental and analytical approaches to modal testing and signal processing for nonlinear aeroelastic systems. A numerical model is developed that can simulate the free- and forced-response of a structurally linear or nonlinear, two or three degree-of-freedom, rigid airfoil section. The numerical model is validated against wind tunnel test data and employed to generate data for nonlinear aeroelastic response over a range of airfoil configurations and for several distinct structurally nonlinear parameters. Data obtained from simulations will be used to design and expand the wind tunnel test-section capability as well as develop signal processing tools based on classical Fourier analysis, reverse input/output analysis, restoring force surfaces, spectrographs, and other signal processing techniques. These tools will be adapted to the nonlinear aeroelastic environment and used to extract system parameter information associated with the systems uniquely nonlinear behaviour, and with the transition from stable to unstable aeroelastic behaviour. The ouput from the different tools will be combined to map the evolution of the system parameters, and studied for patterns and identifying features that will enable the prediction of instabilities. Predictive results will be validated with numerical simulations and wind tunnel tests. The results of this research are expected to contribute significant value to the engineering community dealing with instabilities of nonlinear aeroelastic and fluid/structure systems.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
387042-2010
Name nom
Marsden, Catharine
Department département
Mechanical Engineering
Organization id
30
Institution établissement
Royal Military College of Canada
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2010
Award amount
21000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Partie
2
Nb partie
5
Application title
System identification and signal processing for nonlinear aeroelastic systems
Keyword
NSERC
Application summary
The objective of this research program is to develop and validate, both numerically and experimentally, a set of analytical tools for the identification and characterization of nonlinear aeroelastic systems, with a specific focus on globally linear systems containing isolated nonlinearities. The tools will be time, frequency and time-frequency based and will be used to 1) identify nonlinear aeroelastic systems from non-critical test data, 2) characterize aeroelastic nonlinearities and 3) extract linear and nonlinear system parameters in order to predict transient, uncertain and unstable behaviours such as limit cycle oscillations and chaos. The research program combines numerical modeling, experimental and analytical approaches to modal testing and signal processing for nonlinear aeroelastic systems. A numerical model is developed that can simulate the free- and forced-response of a structurally linear or nonlinear, two or three degree-of-freedom, rigid airfoil section. The numerical model is validated against wind tunnel test data and employed to generate data for nonlinear aeroelastic response over a range of airfoil configurations and for several distinct structurally nonlinear parameters. Data obtained from simulations will be used to design and expand the wind tunnel test-section capability as well as develop signal processing tools based on classical Fourier analysis, reverse input/output analysis, restoring force surfaces, spectrographs, and other signal processing techniques. These tools will be adapted to the nonlinear aeroelastic environment and used to extract system parameter information associated with the systems uniquely nonlinear behaviour, and with the transition from stable to unstable aeroelastic behaviour. The ouput from the different tools will be combined to map the evolution of the system parameters, and studied for patterns and identifying features that will enable the prediction of instabilities. Predictive results will be validated with numerical simulations and wind tunnel tests. The results of this research are expected to contribute significant value to the engineering community dealing with instabilities of nonlinear aeroelastic and fluid/structure systems.