Results 41 to 50 of about 113,908 (298)
Analysis of POD and EPOD for Unsteady Flow Field of Wind Turbine Airfoil
Shanghai Jiaotong Daxue xuebao, 2022 The profile flow around the wind turbine airfoil has a significant impact on the overall performance and the noise of a wind turbine. In this paper, a combination method of large eddy simulation (LES) and the solution of Ffowcs Williams and Hawkings (FW ...
SUN Chong, TIAN Tian, ZHU Xiaocheng, DU Zhaohui
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The triple decomposition of a fluctuating velocity field in a multiscale flow [PDF]
, 2015 A new method for the triple decomposition of a multiscale flow, which is based on the novel optimal mode decomposition (OMD) technique, is presented. OMD provides low order linear dynamics, which fits a given data set in an optimal way and is used to ...
Baj, P, Bruce, PJK, Buxton, ORH
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The Transient POD Method Based on Minimum Error of Bifurcation Parameter
Mathematics, 2021 An invariable order reduction model cannot be obtained by the adaptive proper orthogonal decomposition (POD) method in parametric domain, there exists uniqueness of the model with different conditions. In this paper, the transient POD method based on the
Kuan Lu +6 more
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Orthogonal decomposition of Lorentz transformations
, 2012 The canonical decomposition of a Lorentz algebra element into a sum of orthogonal simple (decomposable) Lorentz bivectors is discussed, as well as the decomposition of a proper orthochronous Lorentz transformation into a product of commuting Lorentz ...
Hanson, Jason
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Guide to Spectral Proper Orthogonal Decomposition [PDF]
, 2020 This paper discusses the spectral proper orthogonal decomposition and its use in identifying modes, or structures, in flow data. A specific algorithm based on estimating the cross-spectral density tensor with Welch’s method is presented, and guidance is ...
Colonius, Tim, Schmidt, Oliver T.
core
The shifted proper orthogonal decomposition: A mode decomposition for multiple transport phenomena [PDF]
, 2015 Transport-dominated phenomena provide a challenge for common mode-based model reduction approaches. We present a model reduction method, which extends the proper orthogonal decomposition (POD) by introducing time-dependent shifts of the snapshot matrix ...
Reiss, Julius +2 more
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Model Order Reduction Methods for Rotating Electrical Machines: A Review
EnergiesDue to the rise of e-mobility applications, there is an increased demand to create more accurate control methods, which can reduce the loss in an e-drive system.
Kristóf Levente Kiss, Tamás Orosz
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A Randomized Proper Orthogonal Decomposition Method for Reducing Large Linear Systems [PDF]
, 2015 The proper orthogonal decomposition (POD) method is a powerful tool for reducing large data systems which can quickly overwhelm modern computing tools. In this thesis we provide a link between randomized projections and statistical methods by introducing
Marvin, Brad
core
Application of machine learning to viscoplastic flow modeling
, 2018 We present a method to construct reduced-order models for duct flows of Bingham media. Our method is based on proper orthogonal decomposition (POD) to find a low-dimensional approximation to the velocity and artificial neural network to approximate the ...
Koroteev, D. +2 more
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Four Decades of Studying Global Linear Instability: Progress and Challenges [PDF]
, 2012 Global linear instability theory is concerned with the temporal or spatial development of small-amplitude perturbations superposed upon laminar steady or time-periodic three-dimensional flows, which are inhomogeneous in two(and periodic in one)or all ...
Gómez, F. +4 more
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