Results 241 to 250 of about 24,798 (283)
Some of the next articles are maybe not open access.
The Physics of Fluids, 2022
To investigate the unsteady evolution characteristics and mechanism of cavitation at the tongue and its influence on the flow field in a centrifugal pump, numerical calculations were performed to research the occurrence and development of cavitation at ...
Jiaxing Lu +5 more
semanticscholar +1 more source
To investigate the unsteady evolution characteristics and mechanism of cavitation at the tongue and its influence on the flow field in a centrifugal pump, numerical calculations were performed to research the occurrence and development of cavitation at ...
Jiaxing Lu +5 more
semanticscholar +1 more source
The Physics of Fluids, 2022
Spatiotemporal coherent structures are critical in quantifying the hydrodynamics of dense gas-solid flows. In this study, two data-driven methods, proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD), are applied to identify and ...
Dandan Li, Bidan Zhao, Junwu Wang
semanticscholar +1 more source
Spatiotemporal coherent structures are critical in quantifying the hydrodynamics of dense gas-solid flows. In this study, two data-driven methods, proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD), are applied to identify and ...
Dandan Li, Bidan Zhao, Junwu Wang
semanticscholar +1 more source
International Journal of Heat and Fluid Flow, 2020
Abstract The meandering of a vortex exists in a broad range of engineering applications and can lead to flow instability and other undesirable characteristics. Compared to a static vortex, measurement of a meandering vortex can result in a ‘smeared’ mean-flow field and increased levels of turbulence at the centre of the vortex.
Yunpeng Xue +4 more
openaire +1 more source
Abstract The meandering of a vortex exists in a broad range of engineering applications and can lead to flow instability and other undesirable characteristics. Compared to a static vortex, measurement of a meandering vortex can result in a ‘smeared’ mean-flow field and increased levels of turbulence at the centre of the vortex.
Yunpeng Xue +4 more
openaire +1 more source
Chemical Engineering Research and Design, 2017
Abstract CFD simulations of swirling flow in a 2:1 axisymmetric sudden pipe expansion are performed and used to understand the structure of the flow. The k–e and SAS-zonal LES models available in ANSYS CFX are used to model turbulence. Comparison of these results shows that the scale-resolving simulation captures much more detail of the flow and ...
Clint Howard +4 more
openaire +1 more source
Abstract CFD simulations of swirling flow in a 2:1 axisymmetric sudden pipe expansion are performed and used to understand the structure of the flow. The k–e and SAS-zonal LES models available in ANSYS CFX are used to model turbulence. Comparison of these results shows that the scale-resolving simulation captures much more detail of the flow and ...
Clint Howard +4 more
openaire +1 more source
2012 American Control Conference (ACC), 2012
In this paper, we consider the filtering of distributed parameter systems (DPS), i.e., systems governed by partial differential equations (PDE). We adopt a reduced order model (ROM) based strategy to solve the problem. We propose a randomly perturbed iterative version of the snapshot proper orthogonal decomposition (POD) technique, termed RI-POD, to ...
D. Yu, S. Chakravorty
openaire +1 more source
In this paper, we consider the filtering of distributed parameter systems (DPS), i.e., systems governed by partial differential equations (PDE). We adopt a reduced order model (ROM) based strategy to solve the problem. We propose a randomly perturbed iterative version of the snapshot proper orthogonal decomposition (POD) technique, termed RI-POD, to ...
D. Yu, S. Chakravorty
openaire +1 more source
International Journal of Numerical Methods for Heat & Fluid Flow, 2019
PurposeThe current paper aims to develop a reduced order discontinuous Galerkin method for solving the generalized Swift–Hohenberg equation with application in biological science and mechanical engineering. The generalized Swift–Hohenberg equation is a fourth-order PDE; thus, this paper uses the local discontinuous Galerkin (LDG) method for it.Design ...
Mehdi Dehghan +3 more
openaire +1 more source
PurposeThe current paper aims to develop a reduced order discontinuous Galerkin method for solving the generalized Swift–Hohenberg equation with application in biological science and mechanical engineering. The generalized Swift–Hohenberg equation is a fourth-order PDE; thus, this paper uses the local discontinuous Galerkin (LDG) method for it.Design ...
Mehdi Dehghan +3 more
openaire +1 more source
Nonlinear dimensionality reduction for parametric problems: A kernel proper orthogonal decomposition
International Journal for Numerical Methods in Engineering, 2021Reduced‐order models are essential tools to deal with parametric problems in the context of optimization, uncertainty quantification, or control and inverse problems.
Pedro D'iez +3 more
semanticscholar +1 more source
Aerospace Science and Technology, 2021
In this work, we conduct experimental investigations on a single-stage axial compressor to shed lights on the dynamic stall phenomena via acoustic measurements.
Di Guan +7 more
semanticscholar +1 more source
In this work, we conduct experimental investigations on a single-stage axial compressor to shed lights on the dynamic stall phenomena via acoustic measurements.
Di Guan +7 more
semanticscholar +1 more source
, 2021
In this paper, we focus on the reduced-order study of finite element (FE) method for the Allen-Cahn equation. Toward this end, we first derive a traditional FE (TFE) formulation for the Allen-Cahn equation and the energy stability and error estimates of ...
Huanrong Li, Zhengyuan Song
semanticscholar +1 more source
In this paper, we focus on the reduced-order study of finite element (FE) method for the Allen-Cahn equation. Toward this end, we first derive a traditional FE (TFE) formulation for the Allen-Cahn equation and the energy stability and error estimates of ...
Huanrong Li, Zhengyuan Song
semanticscholar +1 more source
Brain tumor detection using proper orthogonal decomposition integrated with deep learning networks
Comput. Methods Programs Biomed.BACKGROUND AND OBJECTIVE The central organ of the human nervous system is the brain, which receives and sends stimuli to the various parts of the body to engage in daily activities. Uncontrolled growth of brain cells can result in tumors which affect the
Rita Appiah +7 more
semanticscholar +1 more source

