Results 21 to 30 of about 1,789,846 (196)
A reduced order model for nonlinear vibroacoustic problems
MATEC Web of Conferences, 2012 This work is related to geometrical nonlinearities applied to thin plates coupled with fluid-filled domain. Model reduction is performed to reduce the computation time.
Ouisse Morvan +4 more
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Pressure Stabilization Strategies for a LES Filtering Reduced Order Model
Fluids, 2021 We present a stabilized POD–Galerkin reduced order method (ROM) for a Leray model. For the implementation of the model, we combine a two-step algorithm called Evolve-Filter (EF) with a computationally efficient finite volume method.
Michele Girfoglio +2 more
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An Artificial Compression Reduced Order Model [PDF]
SIAM Journal on Numerical Analysis, 2020 We propose a novel artificial compression, reduced order model (AC-ROM) for the numerical simulation of viscous incompressible fluid flows. The new AC-ROM provides approximations not only for velocity, but also for pressure, which is needed to calculate forces on bodies in the flow and to connect the simulation parameters with pressure data. The new AC-
Victor DeCaria +4 more
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Fast prediction of the performance of the centrifugal pump based on reduced-order model
Energy Reports, 2023 In the present paper, the prediction of the performance of a centrifugal pump is investigated based on proper orthogonal decomposition (POD) reduced-order model (ROM).
Zhiguo Wei +4 more
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Reduced-Order Model Development for Airfoil Forced Response
International Journal of Rotating Machinery, 2008 Two new reduced-order models are developed to accurately and rapidly predict geometry deviation effects on airfoil forced response. Both models have significant application to improved mistuning analysis.
Jeffrey M. Brown, Ramana V. Grandhi
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Reduced-Order Modeling of Gust Responses [PDF]
Journal of Aircraft, 2017 This paper describes two approaches to the construction of reduced-order models from computational fluid dynamics to predict the gust response of airfoils and wings.
Wales, Christopher +2 more
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Induction motor speed control using reduced-order model
Automatika, 2018 Induction machines have a highly nonlinear model with only partial state information. The unavailability of all states and the presence of unknown disturbances make controller design and proving closed-loop stability challenging tasks.
A. Sabir, S. Ibrir
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SolarPACES Conference Proceedings, 2023 We present a Reduced Order Method approach to the heat exchange and loses in a simulated 3D cavity of CSP tower receivers. We validate the method in a 2D Boussinesq model problem for natural convection monitoring temperature, pressure and velocity for ...
Juan Valverde +5 more
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Generative adversarial reduced order modelling
Scientific ReportsAbstractIn this work, we present GAROM, a new approach for reduced order modeling (ROM) based on generative adversarial networks (GANs). GANs attempt to learn to generate data with the same statistics of the underlying distribution of a dataset, using two neural networks, namely discriminator and generator.
Coscia, Dario +2 more
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Development of a Reduced Order Model for Fuel Burnup Analysis
Energies, 2020 Fuel burnup analysis requires a high computational cost for full core calculations, due to the amount of the information processed for the total reaction rates in many burnup regions. Indeed, they reach the order of millions or more by a subdivision into
Christian Castagna +4 more
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