On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series

Stall-induced aeroelastic motion may present severe non-linear behavior. Mathematical models for predicting such phenomena are still not available for practical applications and they are not enough reliable to capture physical effects. Experimental data can provide suitable information to help the u...

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Main Authors: Flávio D. Marques, Eduardo M. Belo, Vilma A. Oliveira, José R. Rosolen, Andréia R. Simoni
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2006/607130
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author Flávio D. Marques
Eduardo M. Belo
Vilma A. Oliveira
José R. Rosolen
Andréia R. Simoni
author_facet Flávio D. Marques
Eduardo M. Belo
Vilma A. Oliveira
José R. Rosolen
Andréia R. Simoni
author_sort Flávio D. Marques
collection DOAJ
description Stall-induced aeroelastic motion may present severe non-linear behavior. Mathematical models for predicting such phenomena are still not available for practical applications and they are not enough reliable to capture physical effects. Experimental data can provide suitable information to help the understanding of typical non-linear aeroelastic phenomena. Dynamic systems techniques based on time series analysis can be adequately applied to non-linear aeroelasticity. When experimental data are available, the methods of state space reconstruction have been widely considered. This paper presents the state space reconstruction approach for the characterization of the stall-induced aeroelastic non-linear behavior. A wind tunnel scaled wing model has been tested. The wing model is subjected to different airspeeds and dynamic incidence angle variations. The method of delays is used to identify an embedded attractor in the state space from experimentally acquired aeroelastic response time series. To obtain an estimate of the time delay used in the state space reconstruction from time series, the autocorrelation function analyis is used. For the calculation of the embedding dimension the correlation integral approach is considered. The reconstructed attractors can reveal typical non-linear structures associated, for instance, to chaos or limit cycles.
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institution Kabale University
issn 1070-9622
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publishDate 2006-01-01
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series Shock and Vibration
spelling doaj-art-bb296843deee4efc8934f0dbd89155532025-02-03T01:01:26ZengWileyShock and Vibration1070-96221875-92032006-01-01134-539340710.1155/2006/607130On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time SeriesFlávio D. Marques0Eduardo M. Belo1Vilma A. Oliveira2José R. Rosolen3Andréia R. Simoni4Department of Aeronautical Engineering, Engineering School of Sao Carlos, University of Sao Paulo, Av. Trabalhador Sancarlense, 400, 13561-020, Sao Carlos, SP, BrazilDepartment of Aeronautical Engineering, Engineering School of Sao Carlos, University of Sao Paulo, Av. Trabalhador Sancarlense, 400, 13561-020, Sao Carlos, SP, BrazilDepartment of Aeronautical Engineering, Engineering School of Sao Carlos, University of Sao Paulo, Av. Trabalhador Sancarlense, 400, 13561-020, Sao Carlos, SP, BrazilDepartment of Aeronautical Engineering, Engineering School of Sao Carlos, University of Sao Paulo, Av. Trabalhador Sancarlense, 400, 13561-020, Sao Carlos, SP, BrazilDepartment of Aeronautical Engineering, Engineering School of Sao Carlos, University of Sao Paulo, Av. Trabalhador Sancarlense, 400, 13561-020, Sao Carlos, SP, BrazilStall-induced aeroelastic motion may present severe non-linear behavior. Mathematical models for predicting such phenomena are still not available for practical applications and they are not enough reliable to capture physical effects. Experimental data can provide suitable information to help the understanding of typical non-linear aeroelastic phenomena. Dynamic systems techniques based on time series analysis can be adequately applied to non-linear aeroelasticity. When experimental data are available, the methods of state space reconstruction have been widely considered. This paper presents the state space reconstruction approach for the characterization of the stall-induced aeroelastic non-linear behavior. A wind tunnel scaled wing model has been tested. The wing model is subjected to different airspeeds and dynamic incidence angle variations. The method of delays is used to identify an embedded attractor in the state space from experimentally acquired aeroelastic response time series. To obtain an estimate of the time delay used in the state space reconstruction from time series, the autocorrelation function analyis is used. For the calculation of the embedding dimension the correlation integral approach is considered. The reconstructed attractors can reveal typical non-linear structures associated, for instance, to chaos or limit cycles.http://dx.doi.org/10.1155/2006/607130
spellingShingle Flávio D. Marques
Eduardo M. Belo
Vilma A. Oliveira
José R. Rosolen
Andréia R. Simoni
On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
Shock and Vibration
title On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
title_full On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
title_fullStr On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
title_full_unstemmed On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
title_short On the Investigation of State Space Reconstruction of Nonlinear Aeroelastic Response Time Series
title_sort on the investigation of state space reconstruction of nonlinear aeroelastic response time series
url http://dx.doi.org/10.1155/2006/607130
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