Results 21 to 30 of about 395,716 (259)
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
openaire +2 more sources
Reduced order models for Lagrangian hydrodynamics
Computer Methods in Applied Mechanics and Engineering, 2022 42 pages, 7 figure, 8 ...
Dylan Matthew Copeland +3 more
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Computational fluid dynamics modeling of a wafer etch temperature control system
Digital Chemical Engineering, 2023 Next-generation etching processes for semiconductor manufacturing exploit the potential of a variety of operating conditions, including cryogenic conditions at which high etch rates of silicon and very low etch rates of the photoresist are achieved. Thus,
Henrique Oyama +5 more
doaj +1 more source
A Comparison of Data‐Driven Approaches to Build Low‐Dimensional Ocean Models
Journal of Advances in Modeling Earth Systems, 2021 We present a comprehensive inter‐comparison of linear regression (LR), stochastic, and deep‐learning approaches for reduced‐order statistical emulation of ocean circulation.
Niraj Agarwal +4 more
doaj +1 more source
Neural Network-Based Model Reduction of Hydrodynamics Forces on an Airfoil
Fluids, 2021 In this paper, an artificial neural network (ANN)-based reduced order model (ROM) is developed for the hydrodynamics forces on an airfoil immersed in the flow field at different angles of attack.
Hamayun Farooq +3 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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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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
doaj +1 more source