Results 51 to 60 of about 7,720,158 (325)
Predictive and stochastic reduced-order modeling of wind turbine wake dynamics [PDF]
Wind Energy Science, 2022 This article presents a reduced-order model of the highly turbulent wind turbine wake dynamics. The model is derived using a large eddy simulation (LES) database, which cover a range of different wind speeds. The model consists of several sub-models: (1)
S. J. Andersen, J. P. Murcia Leon
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Verification of Reduced Order Modeling based Uncertainty/Sensitivity Estimator (ROMUSE)
Nuclear Engineering and Technology, 2019 This paper presents a number of verification case studies for a recently developed sensitivity/uncertainty code package. The code package, ROMUSE (Reduced Order Modeling based Uncertainty/Sensitivity Estimator) is an effort to provide an analysis tool to
Bassam Khuwaileh +3 more
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Modern methods of mathematical modeling of blood flow using reduced order methods [PDF]
Компьютерные исследования и моделирование, 2018 The study of the physiological and pathophysiological processes in the cardiovascular system is one of the important contemporary issues, which is addressed in many works.
Sergey Sergeevich Simakov
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Fluids, 2021 This paper presents a low-pressure experimental validation of a two-phase transient pipeline flow model. Measured pressure and flow rate data are collected for slug and froth flow patterns at the low pressure of 6 bar at the National University of ...
Hamdi Mnasri +8 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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Reduced order modeling of non-linear monopile dynamics via an AE-LSTM scheme
Frontiers in Energy Research, 2023 Non-linear analysis is of increasing importance in wind energy engineering as a result of their exposure in extreme conditions and the ever-increasing size and slenderness of wind turbines.
Thomas Simpson +4 more
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Reduced order method for finite difference modeling of cardiac propagation
Current Directions in Biomedical Engineering, 2020 Efficient numerical simulation of cardiac electrophysiology is crucial for studying the electrical properties of the heart tissue. The cardiac bidomain model is the most widely accepted representation of the electrical behaviour of the heart muscle.
Khan Riasat +2 more
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Data-driven recovery of hidden physics in reduced order modeling of fluid flows [PDF]
The Physics of Fluids, 2019 In this article, we introduce a modular hybrid analysis and modeling (HAM) approach to account for hidden physics in reduced order modeling (ROM) of parameterized systems relevant to fluid dynamics.
Suraj Pawar +3 more
semanticscholar +1 more source
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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Reduced-order modeling using Dynamic Mode Decomposition and Least Angle Regression
, 2020 Dynamic Mode Decomposition (DMD) yields a linear, approximate model of a system's dynamics that is built from data. We seek to reduce the order of this model by identifying a reduced set of modes that best fit the output.
Graff, John +3 more
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