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Title: A parametric modeling approach for the prediction of load distribution due to fluid structure interaction on aircraft structures
Authors: Barutçu, Ahmet
Görgülüarslan, Recep Muhammed
Keywords: Aerodynamic influence coefficient
Bezier surface
Fluid structure interaction
Issue Date: Nov-2019
Publisher: American Society of Mechanical Engineers (ASME)
Source: Barutcu, A., and Gorguluarslan, R. M. A Parametric Modeling Approach for Prediction of Load Distribution due to Fluid Structure Interaction on Aircraft Structures. In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers Digital Collection.
Abstract: The Fluid Structure Interaction (FSI) is a critical multi-physics phenomenon in the aerospace applications for computing loads. Including the FSI effects on the analysis requires high computational cost. A computationally efficient framework is presented in this study for predicting the FSI effects. The high-fidelity structural model is reduced on the elastic axis by using an efficient structural idealization technique. A parametric model generation process is developed by using Bezier surface control vertices (CVs) to estimate the changing load distribution under deformation. The aircraft wing outer surface is created by using Bezier surface modeling method for this purpose. The CVs of the surfaces are perturbed to predict the effect of the deformed shape on the load distribution. This method allows to predict the load distribution by using a few CVs instead of using all grid points. The Aerodynamic Influence Coefficients (AIC) matrix is generated based on the predicted loads based on this parametric modeling approach instead of conducting computationally expensive fluid flow analysis. The presented framework is implemented for an aircraft wing design to show its efficacy. Copyright © 2019 ASME.
Description: International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (2019: Anaheim; United States)
ISBN: 978-079185917-9
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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