Results 21 to 30 of about 28,275 (194)

Application of Direct Numerical Simulation to Determine the Correlation Describing Friction Losses during the Transverse Flow of Fluid in Hexagonal Array Pin Bundles

open access: yesFluids, 2022
This paper presents the results of a numerical simulation to determine the hydraulic resistance for a transverse flow through the bundle of hexagonal rods.
Yury E. Shvetsov   +3 more
doaj   +1 more source

Numerical analysis of a fully developed non-isothermal particle-laden turbulent channel flow

open access: yesArchives of Mechanics, 2011
Turbulent non-isothermal fully-developed channel flow laden with small particles was investigated through Direct Numerical Simulation (DNS), combined with tracking of the individual particles. The simulations are performed at Reτ=180 and 395, with Pr = 1.
M. Jaszczur
doaj   +1 more source

Diffusional growth of cloud droplets in homogeneous isotropic turbulence: DNS, scaled-up DNS, and stochastic model [PDF]

open access: yesAtmospheric Chemistry and Physics, 2020
This paper presents a novel methodology to use direct numerical simulation (DNS) to study the impact of isotropic homogeneous turbulence on the condensational growth of cloud droplets.
L. Thomas   +3 more
doaj   +1 more source

The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model

open access: yesAdvanced Modeling and Simulation in Engineering Sciences, 2022
The multiscale method called Pseudo-Direct Numerical Simulation (P-DNS) is presented as a Reduced Order Model (ROM) aiming to solve problems obtaining similar accuracy to a solution with many degrees of freedom (DOF).
Sergio R. Idelsohn   +2 more
doaj   +1 more source

Statistical Uncertainty of DNS in Geometries without Homogeneous Directions

open access: yesApplied Sciences, 2021
In this paper, we present uncertainties of statistical quantities of direct numerical simulations (DNS) with small numerical errors. The uncertainties are analysed for channel flow and a flow separation case in a confined backward facing step (BFS ...
Jure Oder, Cédric Flageul, Iztok Tiselj
doaj   +1 more source

DNS and LES for Simulating Stratocumulus: Better Together

open access: yesJournal of Advances in Modeling Earth Systems, 2018
We argue that combining direct numerical simulation (DNS) with large‐eddy simulation (LES) and field studies could accelerate current lines of stratocumulus research.
J. P. Mellado   +3 more
doaj   +1 more source

Verification of Heat and Mass Transfer Closures in Industrial Scale Packed Bed Reactor Simulations

open access: yesEnergies, 2018
Particle-resolved direct numerical simulation (PR-DNS) is known to provide an accurate detailed insight into the local flow phenomena in static particle arrays. Most PR-DNS studies in literature do not account for reactions taking place inside the porous
Arpit Singhal   +3 more
doaj   +1 more source

Benchmark for scale-resolving simulation with curved walls: the Taylor Couette flow

open access: yesAdvances in Aerodynamics, 2021
Flow between rotating concentric cylinders, or the Taylor Couette flow, has been studied extensively because of its rich physics, ranging from axisymmetric steady laminar flow, to fully developed turbulent flow.
Z. J. Wang, E. Jourdan
doaj   +1 more source

Deep learning method for the super-resolution reconstruction of small-scale motions in large-eddy simulation

open access: yesAIP Advances, 2022
A super-resolution reconstruction model for the subgrid scale (SGS) turbulent flow field in large-eddy simulation (LES) is proposed, and it is called the meta-learning deep convolutional neural network (MLDCNN).
Qingyi Zhao, Guodong Jin, Zhideng Zhou
doaj   +1 more source

Numerical investigations of mixing non-isothermal streams of sodium coolant in T-branch [PDF]

open access: yesКомпьютерные исследования и моделирование, 2017
Numerical investigation of mixing non-isothermal streams of sodium coolant in a T-branch is carried out in the FlowVision CFD software. This study is aimed at argumentation of applicability of different approaches to prediction of oscillating behavior of
Andrey A. Aksenov   +6 more
doaj   +1 more source

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