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Coherent structures and their influence on the dynamics of aeroelastic panels

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TLDR
In this paper, a panel forced by a supersonic unsteady flow is numerically investigated using a finite difference method, a Galerkin approach, and proper orthogonal decomposition (POD).
Abstract
A panel forced by a supersonic unsteady flow is numerically investigated using a finite difference method, a Galerkin approach, and proper orthogonal decomposition (POD). The aeroelastic model investigated is based on piston theory for modeling the flow-induced forces, and von Karman plate theory for modeling the panel. Structural non-linearity is considered, and it is due to the non-linear coupling between bending and stretching. Several novel facets of behavior are explored, and key aspects of using a Galerkin method for modeling the dynamics of the panel exhibiting limit cycle oscillations and chaos are investigated. It is shown that multiple limit cycles may co-exist, and they are both symmetric and asymmetric. Furthermore, the level of spatial coherence in the dynamics is estimated by means of POD. Reduced order models for the dynamics are constructed. The sensitivity to initial conditions of the non-linear aeroelastic system in the chaotic regime limits the capability of the reduced order models to identically model the time histories of the system. However, various global characteristics of the dynamics, such as the main attractor governing the dynamics, are accurately predicted by the reduced order models. For the case of limit cycle oscillations and stable buckling, the reduced order models are shown to be accurate and robust to parameter variations.

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Citations
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Nonlinear Vibrations and Stability of Shells and Plates

Marco Amabili
TL;DR: In this article, a comparison of different shell theories for nonlinear vibrations and stability of circular cylindrical shells is presented. But the authors do not consider the effect of boundary conditions on the large-amplitude vibrations of circular cylinders.
Journal ArticleDOI

The Method of Proper Orthogonal Decomposition for Dynamical Characterization and Order Reduction of Mechanical Systems: An Overview

TL;DR: In this article, a different approach is adopted, and proper orthogonal decomposition is considered, and modes extracted from the decomposition may serve two purposes, namely order reduction by projecting high-dimensional data into a lower-dimensional space and feature extraction by revealing relevant but unexpected structure hidden in the data.
Journal ArticleDOI

Wake-mediated synchronization and drafting in coupled flags

TL;DR: This work uses vortex sheet simulations to show that inverted drafting occurs when the flag wakes add coherently to form strong vortices, by contrast, normal drafting occurs for higher frequency oscillations, when the vortex wake becomes more complex and mixed on the scale of the flag.
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Coupling modes of three filaments in side-by-side arrangement

TL;DR: In this article, a viscous flow past three filaments in side-by-side arrangement is studied by a numerical simulation and is accompanied by a previously established linear stability analysis.
Journal ArticleDOI

Exploiting sparsity and equation-free architectures in complex systems

TL;DR: This work argues that data-driven dimensionality reduction methods integrate naturally with sparse sensing in the context of complex systems, and demonstrates the advantages of combining these methods on three prototypical examples: classification of dynamical regimes, optimal sensor placement, and equation-free dynamic model reduction.
References
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Numerical Linear Algebra and Applications

TL;DR: A review of some Required Concepts from Core Linear Algebra and some useful Transformations in Numerical LinearAlgebra and Their Applications.
Journal ArticleDOI

Normal Modes for Non-Linear Vibratory Systems

TL;DR: In this paper, a methodology is presented which extends to non-linear systems the concept of normal modes of motion which is well developed for linear systems and demonstrates how an approximate nonlinear version of superposition can be employed to reconstruct the overall motion from the individual nonlinear modal dynamics.