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pro vyhledávání: '"isotropic turbulence"'
We investigate the fluid-solid interaction of suspensions of Kolmogorov-size spherical particles moving in homogeneous isotropic turbulence at a microscale Reynolds number of $Re_\lambda \approx 140$. Two volume fractions are considered, $10^{-5}$ an
Externí odkaz:
http://arxiv.org/abs/2409.02467
Publikováno v:
Physics of Fluids 36, 025120 (2024)
A wavelet-based machine learning method is proposed for predicting the time evolution of homogeneous isotropic turbulence where vortex tubes are preserved. Three-dimensional convolutional neural networks and long short-term memory are trained with a
Externí odkaz:
http://arxiv.org/abs/2404.02256
We present TURB-Hel, a database formed by two datasets of incompressible homogeneous and isotropic turbulence, maintained in a statistically stationary state by fully helical forcing. The aim is to provide a dataset that clearly exhibits the phenomen
Externí odkaz:
http://arxiv.org/abs/2404.07653
Akademický článek
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Autor:
McComb, David
This article begins with an overview, then gives the precise definition of isotropic turbulence, and follows that with the basic conservation equations, in both real space and wavenumber space. These provide the foundations of all theoretical approac
Externí odkaz:
http://arxiv.org/abs/2403.13962
We develop a numerical method for simulating the dynamics of a droplet immersed in a generic time-dependent velocity gradient field. This approach is grounded on the hybrid coupling between the lattice Boltzmann (LB) method, employed for the flow sim
Externí odkaz:
http://arxiv.org/abs/2403.01161
Autor:
Encinar, Miguel P.
Publikováno v:
Journal of Fluid Mechanics. 2023;971:A40
Three-dimensional turbulent flows enhance velocity gradients via strong non-linear interactions of the rate-of-strain tensor with the vorticity vector, and with itself. For statistically homogeneous flows, their total contributions to gradient produc
Externí odkaz:
http://arxiv.org/abs/2401.12658
Publikováno v:
J. Fluid Mech. 1000 (2024) A76
We introduce a novel recursive process to a neural-network-based subgrid-scale (NN-based SGS) model for large eddy simulation (LES) of high Reynolds number turbulent flow. This process is designed to allow an SGS model to be applicable to a hierarchy
Externí odkaz:
http://arxiv.org/abs/2312.15143
In sandstorms and thunderclouds, turbulence-induced collisions between solid particles and ice crystals lead to inevitable triboelectrification. The charge segregation is usually size-dependent, with small particles charged negatively and large parti
Externí odkaz:
http://arxiv.org/abs/2312.04694