Reduced-Order-Model Approach for Aeroelastic Analysis Involving Aerodynamic and Structural Nonlinearities

Munteanu, Sorin; Rajadas, John; Nam, Changho; Chattopadhyay, Aditi

doi:10.2514/1.10971

Cited by 18 publications

(10 citation statements)

References 22 publications

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“…If there is a configuration that reverses at a relatively low dynamic pressure and flies with the enhanced (though backward) controls at a higher level of effectiveness than can be achieved in with the conventional sign of controls, the attention will be turned to (a) beefing up the aerodynamic model, say building up a full range of look-up table by using a panel method code (XFOIL); and (b) studying the optimal design by varying some specific structural parameters to improve the effectiveness. The nonlinearities are important [9,29,76,81] because stall was recorded as having taken place. To achieve angles of attack sufficiently large to have stall, large deflections need also to be included.…”

Section: Motivationmentioning

confidence: 99%

Enhancement of Roll Maneuverability Using Post-Reversal Design. Part I: Nonlinear Analysis

Li¹,

Hodges²

2010

51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

0
0
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0

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Section: Motivationmentioning
confidence: 99%

Enhancement of Roll Maneuverability Using Post-Reversal Design. Part I: Nonlinear Analysis
Li¹,
Hodges²
2010
51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
0
0
0
0
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“…Specific examples of ROMs, such as eigenmode decomposition and proper orthogonal decomposition (POD), are given in [24]. Construction of ROMs for nonlinear aerodynamic systems, considered in detail in Section 3 of this report, is an active area of research [46,55].…”

Section: Applicationsmentioning
confidence: 99%

Methods for simulation-based analysis of fluid-structure interaction.
Barone¹,
Payne²
2005
20
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Methods for analysis of fluid-structure interaction using high fidelity simulations are critically reviewed. First, a literature review of modern numerical techniques for simulation of aeroelastic phenomena is presented. The review focuses on methods contained within the arbitrary Lagrangian-Eulerian (ALE) framework for coupling computational fluid dynamics codes to computational structural mechanics codes. The review treats mesh movement algorithms, the role of the geometric conservation law, time advancement schemes, wetted surface interface strategies, and some representative applications. The complexity and computational expense of coupled NavierStokes/structural dynamics simulations points to the need for reduced order modeling to facilitate parametric analysis. The proper orthogonal decomposition (POD)/Galerkin projection approach for building a reduced order model (ROM) is presented, along with ideas for extension of the methodology to allow construction of ROMs based on data generated from ALE simulations.3

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“…For several years, the research community has developed Reduced Order Models (ROM) to avoid the penalty of full order time domain analysis. Several methods have been proposed and used: Proper Orthogonal Decomposition (POD), 4, 5 Volterra Series, [6][7][8] Neural Networks, 9 etc. Typically, ROMs lack generality and their application is restricted to a limited vicinity of the original parameters used in building the ROM.…”

mentioning
confidence: 99%

Prediction of Transonic LCO using an Harmonic Balance Method
Yao
¹
,
Marques
²

2014
44th AIAA Fluid Dynamics Conference
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This work proposes a novel approach to compute transonic Limit Cycle Oscillations using high fidelity analysis. CFD based Harmonic Balance methods have proven to be efficient tools to predict periodic phenomena. This paper's contribution is to present a new methodology to determine the unknown frequency of oscillations, enabling HB methods to accurately capture Limit Cycle Oscillations (LCOs); this is achieved by defining a frequency updating procedure based on a coupled CFD/CSD Harmonic Balance formulation to find the LCO condition. A pitch/plunge aerofoil and delta wing aerodynamic and respective linear structural models are used to validate the new method against conventional timedomain simulations. Results show consistent agreement between the proposed and timemarching methods for both LCO amplitude and frequency, while producing at least one order of magnitude reduction in computational time. * Research Fellow, MAIAA † Lecturer, MAIAA 1 of 20 Downloaded by UNIVERSITY OF TENNESSEE on August 8, 2015 | http://arc.aiaa.org | Nomenclature A = Harmonic Balance frequency domain matrix b, c = aerofoil semi-chord and chord, respectively D = Harmonic Balance operator matrix E = energy E = Tranformation matrix between frequency and time domains f = fluid force acting on structure F, G, H = convective fluxes for fluid equations h = plunge coordinate I = HB residual K = structure stiffness matrix L = frequency updating figure of merit M = structure mass matrix p = pressure R = vector of fluid and/or structural equation residual t = time step U ∞ = free-stream velocity u, v, w = fluid cartesian velocity components V, V s = reduced velocity and velocity index W = vector of fluid unknowns x, y = vector of structural unknowns α = angle of attack ω, κ = frequency and reduced frequency, κ = 2ω U∞c ρ = density τ = pseudo-time step

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Reduced-Order-Model Approach for Aeroelastic Analysis Involving Aerodynamic and Structural Nonlinearities

Cited by 18 publications

References 22 publications

Enhancement of Roll Maneuverability Using Post-Reversal Design. Part I: Nonlinear Analysis

Enhancement of Roll Maneuverability Using Post-Reversal Design. Part I: Nonlinear Analysis

Methods for simulation-based analysis of fluid-structure interaction.

Prediction of Transonic LCO using an Harmonic Balance Method

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