Results 51 to 60 of about 51,908 (255)
Acceleration of Gas Reservoir Simulation Using Proper Orthogonal Decomposition
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
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Artificial viscosity proper orthogonal decomposition
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Borggaard, Jeff +2 more
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Fusing Distributed Aerodynamic Data Using Bayesian Gappy Proper Orthogonal Decomposition
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
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Proper orthogonal decomposition for optimality systems [PDF]
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
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Multiscale proper orthogonal decomposition (mPOD) of TR-PIV data—a case study on stationary and transient cylinder wake flows [PDF]
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
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Localised Proper Orthogonal Decomposition
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
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Understanding Cavity Flows Using Proper Orthogonal Decomposition and Signal Processing
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
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Proper Orthogonal Decomposition Analysis and Dispersion Characteristics of Resonant Acoustic Flow
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
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Interpolation of Transonic Flows Using a Proper Orthogonal Decomposition Method
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
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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
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