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相关论文: Manufactured Turbulence with Langevin equations

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Despite the nonlinear nature of wall turbulence, there is evidence that the energy-injection mechanisms sustaining wall turbulence can be ascribed to linear processes. The different scenarios stem from linear stability theory and comprise…

A fundamental aspect of turbulence theory is related to the identification of realizable phase-space statistical descriptions able to reproduce in some suitable sense the stochastic fluid equations of a turbulent fluid. In particular, a…

流体动力学 · 物理学 2009-11-13 M. Tessarotto , M. Ellero , P. Nicolini

We propose a methodology for generating time-dependent turbulent inflow data with the aid of machine learning (ML), which has a possibility to replace conventional driver simulations or synthetic turbulent inflow generators. As for the ML…

流体动力学 · 物理学 2019-06-19 Kai Fukami , Yusuke Nabae , Ken Kawai , Koji Fukagata

Numerical simulations of turbulent fluids are paramount to real-life applications, from predicting and modeling flows to diagnostic purposes in engineering. However, they are also computationally challenging due to their intrinsically…

Fluid turbulence is characterized by strong coupling across a broad range of scales. Furthermore, besides the usual local cascades, such coupling may extend to interactions that are non-local in scale-space. As such the computational…

We present an analytical scheme, easily implemented numerically, to generate synthetic Gaussian turbulent flows by using a linear Langevin equation, where the noise term acts as a stochastic stirring force. The characteristic parameters of…

chao-dyn · 物理学 2009-10-30 A. C. Marti , J. M. Sancho , F. Sagues , A. Careta

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. Our study…

流体动力学 · 物理学 2022-10-12 Björn List , Li-Wei Chen , Nils Thuerey

We have derived the full set of MHD equations for incompressible shear flow of a magnetized fluid and considered their solution in the wave-vector space. The linearized equations give the famous amplification of slow magnetosonic waves and…

等离子体物理 · 物理学 2015-05-27 Z. D. Dimitrov , Y. G. Maneva , T. S. Hristov , T. M. Mishonov

We report on a comparison of high-resolution numerical simulations of Lagrangian particles advected by incompressible turbulent hydro- and magnetohydrodynamic (MHD) flows. Numerical simulations were performed with up to $1024^3$ collocation…

等离子体物理 · 物理学 2015-06-26 H. Homann , R. Grauer , A. Busse , W. C. Müller

The Navier-Stokes (NS) equations as a turbulence model have been widely applied in lots of fields. The NS equations contain such a fundamental assumption that all small physical/artificial disturbances could be neglected. Is this assumption…

流体动力学 · 物理学 2026-04-28 Shijie Qin , Kun Xu , Shijun Liao

Lattice Boltzmann method (LBM) has been applied to predict flow properties of porous media including intrinsic permeability, where it is implicitly assumed that the LBM is equivalent to the incompressible (or near incompressible)…

流体动力学 · 物理学 2016-10-03 Jun Li , Minh Tuan Ho , Lei Wu , Yonghao Zhang

Simulation of turbulent flows at high Reynolds number is a computationally challenging task relevant to a large number of engineering and scientific applications in diverse fields such as climate science, aerodynamics, and combustion.…

Plasma turbulence simulations are often computationally expensive with delicate numerical stability. Yet, long simulations are needed to generate uncorrelated turbulence data for studies such as microwave scattering through density…

等离子体物理 · 物理学 2017-11-17 Jarrod Leddy , Chris Bowman , Kieran Gibson , Ben Dudson

The lattice Boltzmann method (LBM) has gained increasing popularity in incompressible viscous flow simulations, but it uses many more variables than necessary. This defect was overcome by a recent approach that solves the more actual…

流体动力学 · 物理学 2021-06-02 Jun-Jie Huang

Lagrangian turbulence lies at the core of numerous applied and fundamental problems related to the physics of dispersion and mixing in engineering, bio-fluids, atmosphere, oceans, and astrophysics. Despite exceptional theoretical,…

流体动力学 · 物理学 2024-04-30 Tianyi Li , Luca Biferale , Fabio Bonaccorso , Martino Andrea Scarpolini , Michele Buzzicotti

We report that many exact invariant solutions of the Navier-Stokes equations for both pipe and channel flows are well represented by just few modes of the model of McKeon & Sharma J. Fl. Mech. 658, 356 (2010). This model provides modes that…

A high order morphing continuum theory (MCT) is introduced to model highly compressible turbulence. The theory is formulated under the rigorous framework of rational continuum mechanics. A set of linear constitutive equations and balance…

流体动力学 · 物理学 2017-11-22 James Chen

This paper presents a novel methodology for the direct numerical modeling and simulation of turbulent flows. The kinetic model equation is firstly extended to turbulent flow with the account of coupled evolution of kinetic, thermal, and…

计算物理 · 物理学 2025-03-11 Xiaojian Yang , Kun Xu

Linearisation of the Navier-Stokes equations about the mean of a turbulent flow forms the foundation of popular models for energy amplification and coherent structures, including resolvent analysis. While the Navier-Stokes equations can be…

流体动力学 · 物理学 2021-05-28 U. Karban , B. Bugeat , E. Martini , A. Towne , A. V. G. Cavalieri , L. Lesshafft , A. Agarwal , P. Jordan , T. Colonius

Numerical simulations can follow the evolution of fluid motions through the intricacies of developed turbulence. However, they are rather costly to run, especially in 3D. In the past two decades, generative models have emerged which produce…

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