Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces
Prediction of unsteady aerodynamic loads is still the most challenging tasks in flutter aeroelastic analysis. Generally, the numerical estimation of steady and unsteady aerodynamics of thin lifting surface is conducted based on an integral equation relating aerodynamic pressure and normal wash ve...
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iium-416962015-02-16T02:56:11Z http://irep.iium.edu.my/41696/ Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces Sulaeman, Erwin Ahmed, Layeeq TL500 Aeronautics Prediction of unsteady aerodynamic loads is still the most challenging tasks in flutter aeroelastic analysis. Generally, the numerical estimation of steady and unsteady aerodynamics of thin lifting surface is conducted based on an integral equation relating aerodynamic pressure and normal wash velocity. The present work attempts to increase the accuracy of the prediction by using an approximate approach to evaluate kernel function occurring in the integral equation in the form of cylindrical function. Following previous approximation approaches by other researchers to solve the cylindrical function for planar lifting surfaces, this paper extends such approaches to non planar lifting surfaces. To increase the accuracy of the method, the integration region of the kernel function is divided into two parts – near and far regions, where a nonlinear regression curve fitting technique is adapted to estimate the denominator part of the cylindrical function of each region IIUM Press 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41696/1/504-2058-4-PB.pdf Sulaeman, Erwin and Ahmed, Layeeq (2014) Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces. IIUM Engineering Journal, 15 (1). pp. 71-79. ISSN 1511-788X (P) 2289-7860 (O) http://journals.iium.edu.my/ejournal/index.php/iiumej/index |
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TL500 Aeronautics Sulaeman, Erwin Ahmed, Layeeq Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
description |
Prediction of unsteady aerodynamic loads is still the most challenging
tasks in flutter aeroelastic analysis. Generally, the numerical estimation of steady and
unsteady aerodynamics of thin lifting surface is conducted based on an integral equation
relating aerodynamic pressure and normal wash velocity. The present work attempts to
increase the accuracy of the prediction by using an approximate approach to evaluate
kernel function occurring in the integral equation in the form of cylindrical function.
Following previous approximation approaches by other researchers to solve the
cylindrical function for planar lifting surfaces, this paper extends such approaches to non
planar lifting surfaces. To increase the accuracy of the method, the integration region of
the kernel function is divided into two parts – near and far regions, where a nonlinear
regression curve fitting technique is adapted to estimate the denominator part of the
cylindrical function of each region |
format |
Article |
author |
Sulaeman, Erwin Ahmed, Layeeq |
author_facet |
Sulaeman, Erwin Ahmed, Layeeq |
author_sort |
Sulaeman, Erwin |
title |
Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
title_short |
Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
title_full |
Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
title_fullStr |
Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
title_full_unstemmed |
Approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
title_sort |
approximate function for unsteady aerodynamic kernel function of aeroelastic lifting surfaces |
publisher |
IIUM Press |
publishDate |
2014 |
url |
http://irep.iium.edu.my/41696/ http://irep.iium.edu.my/41696/ http://irep.iium.edu.my/41696/1/504-2058-4-PB.pdf |
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2023-09-18T20:59:38Z |
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2023-09-18T20:59:38Z |
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