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In this work, we perform numerical simulations of forced two-phase isotropic turbulence to study the stationary states of a two-phase mixture. We first formulate three different approaches to force a two-phase turbulent flow that maintains…

流体动力学 · 物理学 2025-04-08 Suhas S Jain , Ahmed Elnahhas

The effects of entropic-instabilities on the laminar-turbulent transition dynamics of a blunted flat plate at Mach~$4$ are numerically investigated through linear and nonlinear approaches. Linear wavepacket analysis reveals amplifying…

流体动力学 · 物理学 2022-10-12 Hemanth Goparaju , Datta V. Gaitonde

We use a database of direct numerical simulations to evaluate parametrizations for energy dissipation rate in stably stratified flows. We show that shear-based formulations are more appropriate for stable boundary layers than commonly used…

大气与海洋物理 · 物理学 2020-08-25 Sukanta Basu , Ping He , Adam W DeMarco

This article discusses the description of wall-bounded turbulence as a deterministic high-dimensional dynamical system of interacting coherent structures, defined as eddies with enough internal dynamics to behave relatively autonomously…

流体动力学 · 物理学 2018-03-20 Javier Jimenez

Within the framework of variational modelling we derive a one-phase moving boundary problem describing the motion of a semipermeable membrane enclosing a viscous liquid, driven by osmotic pressure and surface tension of the membrane. For…

偏微分方程分析 · 数学 2019-02-20 Friedrich Lippoth , Mark A. Peletier , Georg Prokert

The application of machine learning (ML) techniques, especially neural networks, has seen tremendous success at processing images and language. This is because we often lack formal models to understand visual and audio input, so here neural…

计算工程、金融与科学 · 计算机科学 2022-01-10 Ann-Kathrin Dombrowski , Klaus-Robert Müller , Wolf Christian Müller

The commonly accepted description of transition to turbulence in shear flows requires the presence of an external source of disturbances that get amplified by an essentially linear mechanism up to the point where breakdown to turbulence…

流体动力学 · 物理学 2008-04-15 Paolo Luchini

The mechanisms governing the low-frequency unsteadiness in the shock wave/turbulent boundary layer interaction at Mach 2 are considered. The investigation is conducted based on the numerical database issued from large-eddy simulations…

流体动力学 · 物理学 2021-07-07 Kenzo Sasaki , Diogo C. Barros , André V. G. Cavalieri , Lionel Larchevêque

Laminar-turbulent transition on a rotating wind turbine blade at a chord Reynolds number of $1 \times 10^5$ and varying angles of attack ($AoA$) is studied with direct numerical simulations and linear stability theory. The rotation effects…

流体动力学 · 物理学 2023-08-01 Thales Coelho Leite Fava , Dan Henningson , Ardeshir Hanifi

This paper presents a class of turbulence models written in terms of fractional partial differential equations (FPDEs) with stochastic loads. Every solution of these FPDE models is an incompressible velocity field and the distribution of…

流体动力学 · 物理学 2021-07-01 Brendan Keith , Ustim Khristenko , Barbara Wohlmuth

It was shown previously that the current-carrying state of a Field Effect Transistor with asymmetric source and drain boundary conditions may become unstable against spontaneous generation of plasma waves [1]. By extending the analysis to…

介观与纳米尺度物理 · 物理学 2009-11-13 M. I. Dyakonov

The phenomenon of bursting, in which streaks in turbulent boundary layers oscillate and then eject low speed fluid away from the wall, has been studied experimentally, theoretically, and computationally for more than 50 years because of its…

流体动力学 · 物理学 2014-08-28 D. Viswanath

A new statistical definition for the mean turbulent boundary layer thickness is introduced, based on identification of the point where the streamwise velocity skewness changes sign, from negative to positive, in the outermost region of the…

流体动力学 · 物理学 2025-10-22 Mitchell Lozier , Rahul Deshpande , Ahmad Zarei , Luka Lindić , Wagih Abu Rowin , Ivan Marusic

Numerical and experimental studies have demonstrated the drag-reducing potential of carefully designed streamwise-elongated riblets in lowering skin-friction drag. To support the systematic design of such surface corrugations, recent…

流体动力学 · 物理学 2025-06-10 Mohammadamin Naseri , Armin Zare

Non-stationarity is the rule in the atmospheric boundary layer (ABL). Under such conditions, the flow may experience departures from equilibrium with the underlying surface stress, misalignment of shear stresses and strain rates, and…

流体动力学 · 物理学 2023-07-27 Weiyi Li , Marco G. Giometto

The `local scaling' hypothesis, first introduced by Nieuwstadt two decades ago, describes the turbulence structure of stable boundary layers in a very succinct way and is an integral part of numerous local closure-based numerical weather…

大气与海洋物理 · 物理学 2016-08-16 Sukanta Basu , Fernando Porté-Agel , Efi Foufoula-Georgiou , Jean-François Vinuesa , Markus Pahlow

Despite recent progress, laminar-turbulent coexistence in transitional planar wall-bounded shear flows is still not well understood. Contrasting with the processes by which chaotic flow inside turbulent patches is sustained at the local…

流体动力学 · 物理学 2017-12-15 Paul Manneville

Boundary layers in turbulent flows require fine grid spacings near the walls which depend on the choice of turbulence model. To satisfy these requirements a semi-structured mesh is generally used in this area with orthogonal and layered…

流体动力学 · 物理学 2014-05-06 Kedar C. Chitale , Michel Rasquin , Onkar Sahni , Mark S. Shephard , Kenneth E. Jansen

Cascade models based on dynamical complex networks are proposed as models of turbulent energy cascade. Taking a simple shell model as the initial regular lattice with only nearest neighbor interactions, small world network models are…

流体动力学 · 物理学 2021-07-28 Özgür D. Gürcan

A theoretical description of the phenomenon of modulation of near-wall turbulence by large scale structures is investigated. The description given is simple in that the effect of large-scale structures is limited to a quasi-steady response…

流体动力学 · 物理学 2012-03-19 Sergei I. Chernyshenko , Ivan Marusic , Romain Mathis