Results 31 to 40 of about 24,798 (283)
Proper orthogonal decomposition (POD) analysis of flow structure in volatile binary droplets
International Communications in Heat and Mass Transfer, 2016 Abstract In the present study we perform an in-depth analysis of the internal flow induced by concentration gradients in an evaporating binary ethanol–water droplet. The flow structure during the first stage of evaporation is characterised using micro particle image velocimetry (PIV) to investigate the flow field and analyse various modes of ...
Bennacer, R., Sefiane, K.
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Asymptotic Stability of POD based Model Predictive Control for a semilinear parabolic PDE [PDF]
, 2013 In this article a stabilizing feedback control is computed for a semilinear parabolic partial differential equation utilizing a nonlinear model predictive (NMPC) method.
Alla, Alessandro, Volkwein, Stefan
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Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition [PDF]
Mechanical systems and signal processing, 2021 We apply the Proper Orthogonal Decomposition (POD) method for the efficient simulation of several scenarios undergone by Micro-Electro-Mechanical-Systems, involving nonlinearites of geometric and electrostatic nature.
G. Gobat +4 more
semanticscholar +1 more source
Modal Decomposition Study of the Non-Reactive Flow Field in a Dual-Swirl Combustor
Energies, 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
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Model Order Reduction of Non-Linear Magnetostatic Problems Based on POD and DEI Methods [PDF]
, 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
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Journal 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
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Reduced order models based on pod method for schrödinger equations
Mathematical 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
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Investigation of flow structures involved in sound generation by two- and three-dimensional cavity flows [PDF]
, 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
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Reduced Order Modeling for Heston Stochastic Volatility Model [PDF]
, 2016 In this paper we compare two model order reduction techniques, the Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD), for Heston's option pricing model. The full order model is obtained by discontinuous Galerkin discretization in
Karasözen, Bülent +3 more
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The Rapid Establishment of Large Wind Fields via an Inverse Process
Applied Sciences, 2019 Physical-approach-based wind forecasts have the merit of a heavily reduced uncertainty in predictions, but very often suffer from a prohibitively lengthy numerical computation time, if high spatial resolutions are required.
Shanxun Sun, Shi Liu, Guangchao Zhang
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