Results 21 to 30 of about 22,976 (267)

Energy and Entropy in Turbulence Decompositions

open access: yesEntropy, 2019
The role of energy and entropy in the decomposition of turbulent velocity flow-fields is shown in this paper. Decomposition methods based on the energy concept are taken into account—proper orthogonal decomposition (POD) and its extension bi ...
Václav Uruba
doaj   +1 more source

Spectral proper orthogonal decomposition [PDF]

open access: yes, 2015
The identification of coherent structures from experimental or numerical data is an essential task when conducting research in fluid dynamics. This typically involves the construction of an empirical mode base that appropriately captures the dominant ...
Oberleithner, Kilian   +2 more
core   +2 more sources

Analysis of indefinite divertor footprint with proper orthogonal decomposition in hydrogen/deuterium plasmas in LHD

open access: yesNuclear Materials and Energy, 2019
Divertor particle flux signals on divertor plates were analyzed with the multivariable analysis technique, namely, proper orthogonal decomposition (POD), to characterize the indefinite divertor footprint in the Large Helical Device.
H. Tanaka   +6 more
doaj   +1 more source

Nonlinear proper orthogonal decomposition for convection-dominated flows [PDF]

open access: yesThe Physics of Fluids, 2021
Autoencoder techniques find increasingly common use in reduced order modeling as a means to create a latent space. This reduced order representation offers a modular data-driven modeling approach for nonlinear dynamical systems when integrated with a ...
Shady E. Ahmed   +3 more
semanticscholar   +1 more source

Investigation of flow structures involved in sound generation by two- and three-dimensional cavity flows [PDF]

open access: yes, 2011
Proper Orthogonal Decomposition and Stochastic Estimation are combined to shed some light on the link between organized flow structures and noise generation by turbulent flows.
DRUAULT, Philippe   +2 more
core   +6 more sources

Fast prediction of compressor flow field in nuclear power system based on proper orthogonal decomposition and deep learning

open access: yesFrontiers in Energy Research, 2023
Research and development on digital twins of nuclear power systems has focused on high-precision real-time simulation and the prediction of local complex three-dimensional fluid dynamics. Traditional computational fluid dynamics (CFD) methods cannot take
Jun Yang   +5 more
semanticscholar   +1 more source

A reduced Galerkin finite element formulation based on proper orthogonal decomposition for the generalized KDV-RLW-Rosenau equation

open access: yesJournal of Inequalities and Applications, 2023
This paper investigates reduced-order modeling of the Korteweg de Vries regularized long-wave Rosenau (KdV-RLW-Rosenau) equation using semi- and fully-discrete B-spline Galerkin approximations. The approach involves the application of a proper orthogonal
Wenju Zhao, Guang-Ri Piao
doaj   +1 more source

Modal Decomposition Study of the Non-Reactive Flow Field in a Dual-Swirl Combustor

open access: yesEnergies, 2023
The modal decomposition study of the non-reactive flow field in a dual-swirl combustor is investigated through the large eddy simulation. The formation mechanism and function of various recirculation zones are elaborated by analyzing the time-averaged ...
Xiangzhou Feng   +3 more
doaj   +1 more source

Reduced order models based on pod method for schrödinger equations

open access: yesMathematical Modelling and Analysis, 2013
Reduced-order models (ROM) are developed using the proper orthogonal decomposition (POD) for one dimensional linear and nonlinear Schrödinger equations. The main aim of this paper is to study the accuracy and robustness of the ROM approximations.
Gerda Jankevičiutė   +3 more
doaj   +1 more source

Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]

open access: yes, 2014
In the domain of numerical computation, Model Order Reduction approaches are more and more frequently applied in mechanics and have shown their efficiency in terms of reduction of computation time and memory storage requirements. One of these approaches,
CLENET, Stéphane, HENNERON, Thomas
core   +3 more sources

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