نتایج جستجو برای: proper orthogonal decomposition

تعداد نتایج: 253783  

Journal: :Applied Mathematics and Mechanics-english Edition 2021

Abstract A three-dimensional incompressible annular jet is simulated by the large eddy simulation (LES) method at a Reynolds number Re = 8 500. The time-averaged velocity field shows an asymmetric wake behind central bluff-body although flow geometry symmetric. proper orthogonal decomposition (POD) analysis of fluctuation vectors conducted to study dynamics flow. distribution turbulent kinetic ...

1999
S. S. Ravindran S. S. RAVINDRAN

In this article, we present a reduced order modeling approach suitable for active control of uid dynamical systems based on proper orthogonal decomposition (POD). The rationale behind the reduced order modeling is that numerical simulation of Navier-Stokes equations is still too costly for the purpose of optimization and control of unsteady ows. We examine the possibility of obtaining reduced o...

Journal: :I. J. Bifurcation and Chaos 2005
Clarence W. Rowley

Many of the tools of dynamical systems and control theory have gone largely unused for fluids, because the governing equations are so dynamically complex, both high-dimensional and nonlinear. Model reduction involves finding low-dimensional models that approximate the full high-dimensional dynamics. This paper compares three different methods of model reduction: proper orthogonal decomposition ...

2007
Timothy C. Allison A. Keith Miller Daniel J. Inman George R. Goodson

The Proper Orthogonal Decomposition (POD) is a method that may be applied to linear and nonlinear structures for extracting important information from a measured structural response. Previous methods of using the POD for system identification typically use the POD for model reduction only and system identification is accomplished via standard methods. A method for using the POD-based identifica...

Journal: :Numerische Mathematik 2017
Shengfeng Zhu Luca Dedè Alfio Quarteroni

We investigate the combination of Isogeometric Analysis (IGA) and proper orthogonal decomposition (POD) based on the Galerkin method for model order reduction of linear parabolic partial differential equations. For the proposed fully discrete scheme, the associated numerical error features three components due to spatial discretization by IGA, time discertization with the θ -scheme, and eigenva...

2008
Miloš Ilak Clarence W. Rowley

We study reduced-order models of three-dimensional perturbations in linearized channel flow using balanced proper orthogonal decomposition BPOD . The models are obtained from three-dimensional simulations in physical space as opposed to the traditional single-wavenumber approach, and are therefore better able to capture the effects of localized disturbances or localized actuators. In order to a...

2008
A. Verhoeven M. Striebel J. Rommes T. Bechtold

Future simulation for nanoelectronics requires that circuit equations can be coupled to electromagnetics, to semiconductor equations, and to heat transfer. The consequence is that one has to deal with large systems. Model Order Reduction (MOR) is a means to speed up simulation of large systems. Existing MOR techniques mostly apply to linear problems and even then they have to be generalized to ...

2012
Santosh Tirunagari

Abstract— Large Eddy Simulations (LES) contains 3D instantaneous velocity fields as well as passive scalar concentration field describing the coherent flow structures. The study of coherent flow structures has a major impact on the mixing of the fuel and the oxidizer. The analysis of these structures in a turbulent jet is essential in understanding the fundamentals of fluid dynamics. Therefore ...

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