Searched for: subject%3A%22Proper%255C%2BOrthogonal%255C%2BDecomposition%22
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Sajadi, B. (author), Wahls, S. (author), Hemert, Simon van (author), Belardinelli, P. (author), Steeneken, P.G. (author), Alijani, F. (author)
Despite numerous theoretical investigations on the mechanical properties of graphene, an accurate identification of its material behavior is still unattained. One hypothesis for this uncertainty is that modeling graphene as a static membrane cannot describe the strong coupling between mechanics and thermodynamics of this structure. Therefore,...
journal article 2019
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Alsayyari, F.S. (author), Perko, Z. (author), Lathouwers, D. (author), Kloosterman, J.L. (author)
Large-scale complex systems require high fidelity models to capture the dynamics of the system accurately. The complexity of these models, however, renders their use to be expensive for applications relying on repeated evaluations, such as control, optimization, and uncertainty quantification. Proper Orthogonal Decomposition (POD) is a...
journal article 2019
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Gedikli, Ersegun Deniz (author), Nord, Torodd Skjerve (author), Hendrikse, H. (author), Ziemer, Gesa (author)
Pressures at the ice-structure interface during model-scale ice-structure interaction are often measured with tactile sensors. Resulting datasets usually include large volume of data along with some measurement error and noise; therefore, it is inherently hard to extract the hidden fluctuating pressures in the system. Identifying the...
journal article 2019
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Cheng, L. (author)
Modern computational and experimental techniques can represent the detailed dynamics of complex systems using large numbers of degrees of freedom. To facilitate human interpretation or the optimal design of control systems, however, reduced-order models (ROMs) are required. Conventional reduced-order modeling techniques, such as those based on...
doctoral thesis 2017
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Ghavamian, F. (author), Tiso, P. (author), Simone, A. (author)
We demonstrate a Model Order Reduction technique for a system of nonlinear equations arising from the Finite Element Method (FEM) discretization of the three-dimensional quasistatic equilibrium equation equipped with a Perzyna viscoplasticity constitutive model. The procedure employs the Proper Orthogonal Decomposition-Galerkin (POD-G) in...
journal article 2017
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Jansen, J.D. (author), Durlofsky, L.J. (author)
Many aspects of reservoir management can be expected to benefit from the application of computational optimization procedures. The focus of this review paper is on well control optimization, which entails the determination of well settings, such as flow rates or bottom hole pressures, that maximize a particular objective function. As is the case...
journal article 2016
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Le Coz, C. (author)
Proper orthogonal decomposition (POD) is a well established model order reduction technique, however its efficiency is limited for advection dominated model. In this report, we explore a modified proper orthogonal decomposition procedure with patterns in time instead of the usual patterns in space. This modified procedure is more suitable for...
master thesis 2015
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Anantharaman, V. (author)
Orifice plates are key components used for flow measurement and control in several industries. For instance, they find applications in gas and liquid circuits of lithography machines, nuclear power plants and aerospace propulsion systems. They are used typically either for measuring flow-rate or to introduce a pressure drop for purposes of flow...
master thesis 2014
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Baumann, M.M. (author)
The model-order reduction techniques Proper Orthogonal Decomposition (POD) and Discrete Empirical Interpolation Method (DEIM) have been applied for the optimal control of Burgers' equation. Accuracy and performance of the reduced models have been studied in detail for different values of the viscosity parameter and different sizes of the...
master thesis 2013
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Violato, D.V. (author)
To meet the increasingly stringent noise regulation, aircraft manufacturers are searching for solutions to jet noise. This, which constitutes a significant amount of the total noise emitted by civil aircrafts, is generated by the mixing processes between the exhaust flow leaving the engine and the atmosphere. A detailed understanding of such...
doctoral thesis 2013
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Sava, D.M. (author)
Reduced-order modelling procedures, seen as an alternative to the classical gradient based approach, in which the adjoint of the tangent linear approximation of the forward model is replaced by the adjoint of a linear approximation of a reduced forward model. Proper orthogonal decomposition is used to compute the reduced model, by using the...
master thesis 2012
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Kaleta, M.P. (author), Hanea, R.G. (author), Heemink, A.W. (author), Jansen, J.D. (author)
Gradient-based history matching algorithms can be used to adapt the uncertain parameters in a reservoir model using production data. They require, however, the implementation of an adjoint model to compute the gradients, which is usually an enormous programming effort. We propose a new approach to gradient-based history matching which is based...
journal article 2010
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Humble, R.A. (author)
A fundamental experimental study is carried out to investigate the unsteady flow organization of an incident shock wave/turbulent boundary layer interaction at Mach 2.1. Planar and tomographic particle image velocimetry (PIV) are used in combination with data processing using the proper orthogonal decomposition (POD), complemented with hot-wire...
doctoral thesis 2009
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Van Doren, J. (author), Markovinovic, R. (author), Jansen, J.D. (author)
During the design of development concepts for the exploitation of oil and gas reservoirs, frequent use is made of numerical simulation of the flow of multi-phase fluids through porous rock. Recently, increased attention has been paid to systematic optimization of well positions and operating parameters (rates, pressures) over the life of the...
conference paper 2006
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Müller, H. (author), Volkwein, S. (author)
Proper orthogonal decomposition (POD) is a powerful technique for model reduction of linear and non-linear systems. It is based on a Galerkin type discretization with basis elements created from the system itself. In this work POD is used to derive low-order models for a so-called lambda-omega system that is a universal model to investigate two...
conference paper 2006
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Van Doren, J. (author), Markovinovic, R. (author), Jansen, J.D. (author)
During the design of development concepts for the exploitation of oil and gas reservoirs, frequent use is made of numerical simulation of the flow of multi-phase fluids through porous rock. Recently, increased attention has been paid to systematic optimization of well positions and operating parameters (rates, pressures) over the life of the...
conference paper 2006
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Moon, Y.J. (author), Bae, Y.M. (author), Cho, M.H. (author)
In the present study, aerodynamic noise from a forward-facing step is numerically investigated for Reynolds number based on the step height, Reh=8,000 and flow Mach number, M=0.03. A three-dimensional flow over the forward-facing step is calculated by the incompressible large eddy simulation (LES), while its acoustic field is solved by the...
conference paper 2006
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Kahlbacher, M. (author), Volkwein, S. (author)
Proper orthogonal decomposition (POD) is a powerful technique for model reduction of linear and non-linear systems. It is based on a Galerkin type discretization with basis elements created from the system itself. In this work POD is applied to estimate scalar parameters in elliptic partial differential equations. The parameter estimation is...
conference paper 2006
Searched for: subject%3A%22Proper%255C%2BOrthogonal%255C%2BDecomposition%22
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