Results 1 to 10 of about 21,860,066 (265)
A curated dataset for data-driven turbulence modelling. [PDF]
Sci Data, 2021 The recent surge in machine learning augmented turbulence modelling is a promising approach for addressing the limitations of Reynolds-averaged Navier-Stokes (RANS) models.
McConkey R, Yee E, Lien FS.
europepmc +3 more sources
Sub-grid modelling for two-dimensional turbulence using neural networks [PDF]
Journal of Fluid Mechanics, 2018 In this investigation, a data-driven turbulence closure framework is introduced and deployed for the sub-grid modelling of Kraichnan turbulence. The novelty of the proposed method lies in the fact that snapshots from high-fidelity numerical data are used
Maulik, Romit +3 more
core +4 more sources
Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons [PDF]
Journal of Fluid Mechanics, 2022 In this paper, we train turbulence models based on convolutional neural networks. These learned turbulence models improve under-resolved low-resolution solutions to the incompressible Navier–Stokes equations at simulation time.
Bjorn List, Li-Wei Chen, Nils Thuerey
semanticscholar +1 more source
Effect of Turbulence Models in Performance Characterization of a Low Reynolds Number UAV Propeller [PDF]
INCAS Bulletin, 2021 The advancement of computer technology has given the necessary impetus to perform numerical modelling and simulation in engineering. Turbulence modelling in Computational Fluid Dynamics is characterized by non-physics based modelling and there are ...
Aravind SEENI
doaj +1 more source
Appropriate Numerical Modelling for Simulation of Root Airfoils of Horizontal Axis Wind Turbine [PDF]
مجله مدل سازی در مهندسی, 2023 In this paper, the air flow around a root airfoil model of horizontal axis wind turbine, namely SG6040 is numerically simulated using finite volume method by three turbulence modelling k-ω, k-ω SST, and Spalart-Allmaras in two Reynolds Number of 137,122 ...
Sajjad Pourhabili, Reza Razaghi
doaj +1 more source
On the turbulence modelling of waves breaking on a vertical pile
Journal of Fluid Mechanics, 2022 Incipient wave breaking on a vertical circular pile is simulated with a Reynolds stress–$\omega$ turbulence model. Comparison of results simulated with a stabilized two-equation turbulence model, as well as no turbulence model, demonstrates that the ...
Yuzhu Li, D. Fuhrman
semanticscholar +1 more source
Metals, 2023 The submitted article deals with the use of physical and numerical modelling to study the process of the steel flow in an asymmetric five-strand tundish that continuously casts steel.
Josef Walek +8 more
doaj +1 more source
Modelling the Wake Flow Behind a Model of Horizontal Axis Wind Turbine using RANS Approach: A Comparative Study [PDF]
Journal of Engineering Research - Egypt, 2020 Steady CFD simulations, which is based on Reynolds Average Navier-Stokes (RANS) approach, were conducted for a model of Horizontal Axis Wind Turbine (HAWT) and compared with experimental data in order to assess the accuracy of these models in simulating ...
Abd Elnaby Kabeel +3 more
doaj +1 more source
Journal of Marine Science and Engineering, 2023 Pipe bend is a critical integral component, widely used in slurry pipeline systems involving various engineering applications, including natural gas hydrate production. The aim of this study is to assess the capability of RANS-based CFD models to capture
Qi Yang +7 more
doaj +1 more source
The energy- and flux budget theory for surface layers in atmospheric convective and stably stratified turbulence [PDF]
Physics of Fluids 34, 116602 (2022), 2021 The energy- and flux budget (EFB) turbulence closure theory for the atmospheric surface layers in convective and stably stratified turbulence has been developed using budget equations for turbulent energies and fluxes in the Boussinesq approximation. In the lower part of the surface layer in the atmospheric convective boundary layer (CBL), the rate of ...
arxiv +1 more source