Results 31 to 40 of about 24,405,029 (336)
Coastal Engineering, 2018 In this work, the performance of a buoyancy-modified turbulence model is shown for simulating wave breaking in a numerical wave flume. Reynolds-Averaged Navier-Stokes (RANS) modelling is performed by applying both a k-ω and a k-ω SST turbulence model ...
B. Devolder, P. Troch, P. Rauwoens
semanticscholar +1 more source
The Influence of Reynolds Number on Boundary Layer Development and Stall Characteristics of Airfoil
Hangkong gongcheng jinzhan, 2019 Airfoil stall and its boundary layer development are fundamental scientific issues in aircraft design. For the trailing edge stall airfoil, The transition model coupled the Mentor k -ω SST model with the disturbance amplification factor transport ...
Zhang Yanjun +3 more
doaj +1 more source
Proceedings, 2020 The performance of a wind turbine depends on the characteristics of the airflow as well as the conditions of the atmospheric boundary layer (ABL). To evaluate accurately the amount of wind energy, it is required to have the exact height distribution of ...
Amahjour Narjisse, Abdellatif Khamlichi
doaj +1 more source
Towards a Simple Model of Compressible Alfvenic Turbulence [PDF]
, 1997 A simple model collisionless, dissipative, compressible MHD (Alfvenic) turbulence in a magnetized system is investigated. In contrast to more familiar paradigms of turbulence, dissipation arises from Landau damping, enters via nonlinearity, and is ...
A. Chekhlov +28 more
core +2 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, N. Thuerey
semanticscholar +1 more source
Meteorologische Zeitschrift, 2015 Raindrops in warm clouds grow faster than predicted by classical cloud models. One of the possible reasons for this discrepancy is the influence of cloud turbulence on the coagulation process.
Theres Riechelmann +4 more
doaj +1 more source
Engineering Applications of Computational Fluid Mechanics, 2020 The numerical simulation of unsteady cavitation flows is sensitive to the selected models and associated parameters. Consequently, three Reynolds Average Navier-Stokes (RANS) turbulence models and the Zwart cavitation model were selected to assess their ...
Linlin Geng, Xavier Escaler
doaj +1 more source
Validation of a helicopter turbulence model on PUMA 330 dynamics [PDF]
INCAS Bulletin, 2019 Aircraft and algorithms used in automated flight control are always designed for calm atmospheric conditions; therefore, testing their behaviour in realistic atmospheric conditions implies the necessity for efficient turbulence models.
Irina-Beatrice STEFANESCU +2 more
doaj +1 more source
Investigation of Discharge Coefficient of Triangular Duckbill Labyrinth Weirs Using Fluent Software and Gray Wolf and Elections Algorithms [PDF]
پژوهشهای زیرساختهای عمرانی, 2021 Labyrinth weirs are important hydraulic structures for water level regulation and flow control in canals, rivers, and reservoirs. Due to the uneven distribution of hydraulic head on the weir crest, the discharge coefficient changes along the labyrinth ...
Somayeh Emami +3 more
doaj +1 more source
Dependence on Reynolds number of high-order moments of velocity derivatives in isotropic turbulence [PDF]
, 1970 The results of a heuristic model of the fine scale structure of homogeneous turbulence are presented. Predictions are made about the way in which flatness and skewness factors of arbitrary order depend upon the Reynolds number of the ...
Saffman, P. G.
core +1 more source