Results 21 to 30 of about 24,405,029 (336)
Collisional transport across the magnetic field in drift-fluid models [PDF]
Drift ordered fluid models are widely applied in studies of low-frequency turbulence in the edge and scrape-off layer regions of magnetically confined plasmas.
A. H. Nielsen +5 more
core +2 more sources
Turbulence models of gravitational clustering [PDF]
Large-scale structure formation can be modeled as a nonlinear process that transfers energy from the largest scales to successively smaller scales until it is dissipated, in analogy with Kolmogorov's cascade model of incompressible turbulence.
Gaite, Jose
core +2 more sources
Comparative study on related models of propeller cavitation numerical simulation
ObjectiveThe purpose of this paper is to study the effects of cavitation models on the simulation of full-scale propeller cavitation. MethodsThe minimum rotational speed of the propeller required for cavitation is predicted by the Bernoulli equation, and
Jiahao SHI +6 more
doaj +1 more source
Two-equation modeling of turbulent rotating flows [PDF]
The possibility to take into account the effects of the Coriolis acceleration on turbulence is examined in the framework of two-equation eddy-viscosity models.
Carbonneau, Xavier +3 more
core +2 more sources
Effect of RANS Turbulence Model on Aerodynamic Behavior of Trains in Crosswind
The numerical simulation based on Reynolds time-averaged equation is one of the approved methods to evaluate the aerodynamic performance of trains in crosswind.
Tian Li, D. Qin, Jiye Zhang
semanticscholar +1 more source
This study updates the multi‐layered Community Land Model (CLM‐ml) for hillslopes and compares predictions from against observations collected in tropical montane rainforest, Costa Rica.
Jaeyoung Song +4 more
doaj +1 more source
Self-Organization of Vortex Length Distribution in Quantum Turbulence: An Approach from the Barabasi-Albert Model [PDF]
The energy spectrum of quantum turbulence obeys Kolmogorov's law. The vortex length distribution (VLD), meaning the size distribution of the vortices, in Kolmogorov quantum turbulence also obeys a power law.
Akira Mitani +4 more
core +1 more source
Ensemble Kalman method for learning turbulence models from indirect observation data [PDF]
In this work, we propose using an ensemble Kalman method to learn a nonlinear eddy viscosity model, represented as a tensor basis neural network, from velocity data.
Xinlei Zhang +3 more
semanticscholar +1 more source
The effect of slip on the development of flow separation due to a bump in a channel based on a two-fluid turbulence model [PDF]
In the paper, two-fluid turbulence model simulations were used to calculate the flow of a statistically two-dimensional turbulent boundary layer over a hump.
Madaliev Murodil +6 more
doaj +1 more source

