Applying frequency-domain unsteady lifting-line theory to time-domain problems

Bird, H. J.A. and Ramesh, K. (2022) Applying frequency-domain unsteady lifting-line theory to time-domain problems. AIAA Journal, 60(4), pp. 2287-2296. (doi: 10.2514/1.j060898)

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Abstract

Frequency-domain unsteady lifting-line theory is better developed than its time-domain counterpart. To take advantage of this, this paper proposes a method to transform time-domain kinematics to the frequency domain, perform a convolution, and then return the results back to the time domain. This paper demonstrates how well-developed frequency-domain methods can be easily applied to time-domain problems, enabling prediction of forces and moments on finite wings undergoing arbitrary kinematics. Results are presented for rectangular wings of various aspect ratios, undergoing pitch and heave kinematics. Computational fluid dynamics is used to test the effectiveness of the method in the Euler and low-Reynolds-number (Re=10,000) regimes. Overall, the proposed method provides fast and reasonably accurate predictions of lift and moment coefficients, particularly in comparison to strip theory, which is commonly used for problems involving arbitrary kinematics.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Ramesh, Dr Kiran and Bird, Hugh
Authors: Bird, H. J.A., and Ramesh, K.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:AIAA Journal
Publisher:American Institute of Aeronautics and Astronautics, Inc.
ISSN:0001-1452
ISSN (Online):1533-385X
Published Online:13 December 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in AIAA Journal 60(4): 2287-2296
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
301531UNSflow: A low-order, open-source solver for problems that involve unsteady and nonlinear fluid dynamicsKiran RameshEngineering and Physical Sciences Research Council (EPSRC)EP/R008035/1ENG - Autonomous Systems & Connectivity