Results 51 to 60 of about 51,908 (255)

Acceleration of Gas Reservoir Simulation Using Proper Orthogonal Decomposition

open access: yesGeofluids, 2018
High-precision and high-speed reservoir simulation is important in engineering. Proper orthogonal decomposition (POD) is introduced to accelerate the reservoir simulation of gas flow in single-continuum porous media via establishing a reduced-order model
Yi Wang, Bo Yu, Ye Wang
doaj   +1 more source

Artificial viscosity proper orthogonal decomposition

open access: yesMathematical and Computer Modelling, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borggaard, Jeff   +2 more
openaire   +2 more sources

Fusing Distributed Aerodynamic Data Using Bayesian Gappy Proper Orthogonal Decomposition

open access: yesAIAA AVIATION 2021 FORUM, 2021
During the development of an aircraft, a multitude of aerodynamic data is required for different flight conditions throughout the flight envelope. Nowadays, a large portion of this data is routinely acquired by Computational Fluid Dynamics simulations ...
A. Bertram, P. Bekemeyer, Matthias Held
semanticscholar   +1 more source

Proper orthogonal decomposition for optimality systems [PDF]

open access: yesESAIM: Mathematical Modelling and Numerical Analysis, 2008
The authors consider optimal control problems of the form \[ \min J(y,u)\quad\text{s.t. }y_t(t)= F(y(t))+ B(u(t)),\;y(0)= y_0, \] where the differential equation is considered in weak form in a separable Hilbert space of functions. For this problems, a method is proposed which avoids the problem of unmodelled dynamics in the proper orthogonal ...
Kunisch, Karl, Volkwein, Stefan
openaire   +1 more source

Multiscale proper orthogonal decomposition (mPOD) of TR-PIV data—a case study on stationary and transient cylinder wake flows [PDF]

open access: yesMeasurement science and technology, 2020
Data-driven decompositions of particle image velocimetry (PIV) measurements are widely used for a variety of purposes, including the detection of coherent features (e.g. vortical structures), filtering operations (e.g.
M. A. Mendez   +3 more
semanticscholar   +1 more source

Localised Proper Orthogonal Decomposition

open access: yesTheoretical and Computational Fluid Dynamics
Proper Orthogonal Decomposition (POD) extracts an optimal orthonormal basis for reconstructing a sequence of data. This technique is widely used in fluid mechanics to construct reduced-order models for physical analysis, modelling, estimation, and control.
Elhaddad, Dyhia   +3 more
openaire   +2 more sources

Understanding Cavity Flows Using Proper Orthogonal Decomposition and Signal Processing

open access: yesJournal of Algorithms & Computational Technology, 2010
Computational Fluid Dynamics (CFD) is increasingly being used to analyse complex flows. However, to perform a comprehensive analysis over a given time period, a large amount of data is provided and therefore a method for reducing the storage requirements
S.J. Lawson, G.N. Barakos, A. Simpson
doaj   +1 more source

Proper Orthogonal Decomposition Analysis and Dispersion Characteristics of Resonant Acoustic Flow

open access: yesShock and Vibration, 2020
The investigation on the flow field and mixing characteristics of resonant sound mixing is of great significance for the dispersion mixing of superfine materials.
Xiaopeng Wang   +4 more
doaj   +1 more source

Interpolation of Transonic Flows Using a Proper Orthogonal Decomposition Method

open access: yesInternational Journal of Aerospace Engineering, 2013
A proper orthogonal decomposition (POD) method is used to interpolate the flow around an airfoil for various Mach numbers and angles of attack in the transonic regime.
Benoit Malouin   +2 more
doaj   +1 more source

An Application of a Modified Gappy Proper Orthogonal Decomposition on Complexity Reduction of Allen-Cahn Equation

open access: yesAlgorithms, 2020
This work considers model reduction techniques that can substantially decrease computational cost in simulating parmetrized Allen–Cahn equation. We first employ the proper orthogonal decomposition (POD) approach to reduce the number of unknowns in the ...
Chutipong Dechanubeksa   +1 more
doaj   +1 more source

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