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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by:
Paper 146
Flutter Analysis using a Fully Coupled Density Based Solver for Inviscid Flow H.I. Kassem, X. Liu and J.R. Banerjee
School of Engineering and Mathematical Sciences, City University, London, United Kingdom H.I. Kassem, X. Liu, J.R. Banerjee, "Flutter Analysis using a Fully Coupled Density Based Solver for Inviscid Flow", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 146, 2014. doi:10.4203/ccp.106.146
Keywords: aeroelasticity, computational fluid dynamics, transonic flow, flutter..
Summary
This paper focuses on the coupling between the high fidelity aerodynamic model for
the flow field with the heave and pitch behaviour of a typical wing section to predict
its transonic flutter speed. This coupled aeroelastic model is implemented in one of
the most widely used open source computational fluid dynamics codes called OpenFOAM. The model is designed to compute the structural displacement in the time
domain based on the free vibration modes of the structure resulting from the modal
analysis. To this end, the problem requires the solution of a second order ordinary
differential equation for each mode as a function of the generalized coordinates. A
density based solver using the central difference scheme of Kurganov and Tadmor is
used to model the flow field. Based on the theory and methodology presented in this
paper, two case studies was investigated to obtain numerical results. The first one
is a NACA 64A010 aerofoil pitching about its quarter-chord whereas the second case
study uses the same aerofoil, but with both heave and pitch motion. The self-sustained
two degrees of freedom in the second case study are modelled for three different possibilities
covering damped, neutral and divergent oscillations. The predicted results
show excellent agreement with the numerical and experimental data available in the
literature.
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