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Large Eddy Simulations of turbulent flows are powerful tools used in many engineering and geophysical settings. Choosing the right value of the free parameters for their subgrid scale models is a crucial task for which the current methods…

流体动力学 · 物理学 2021-02-03 M. Buzzicotti , P. Clark Di Leoni

Wall pressure fluctuations beneath the turbulent boundary layer of high-speed underwater vehicles are crucial for hydro-acoustics and acoustic stealth. However, a comprehensive understanding remains limited due to a lack of high-quality…

流体动力学 · 物理学 2025-12-30 Peng Jiang , Haoyu Zhang , Yi Dai , Tao Peng , Bin Xie , Shijun Liao

We present a framework for Large Eddy Simulations (LES) with Immersed Boundaries (IBs) to simulate high Reynolds number flows over complex walls. In this approach, which we call Immersed Boundary-Modeled LES (IBMLES), we volume-filter the…

流体动力学 · 物理学 2025-11-03 Morrison Rickard , M. Houssem Kasbaoui

Neural networks offer highly expressive turbulence closures, yet their complexity obscures the physical mechanisms they aim to model, and their computational cost can limit their tractability. To address these limitations, we introduce a…

流体动力学 · 物理学 2026-04-29 Samantha Friess , Aviral Prakash , John A. Evans

A simulation methodology for ultra-scaled InAs quantum well field effect transistors (QWFETs) is presented and used to provide design guidelines and a path to improve device performance. A multiscale modeling approach is adopted, where…

介观与纳米尺度物理 · 物理学 2011-10-28 Neerav Kharche , Gerhard Klimeck , Dae-Hyun Kim , Jesús. A. del Alamo , Mathieu Luisier

In this review, the methodology of large eddy simulations (LES) is introduced and applications in astrophysics are discussed. As theoretical framework, the scale decomposition of the dynamical equations for neutral fluids by means of…

宇宙学与河外天体物理 · 物理学 2014-04-10 Wolfram Schmidt

The subgrid-scale modelling of a low Mach number strongly anisothermal turbulent flow is investigated using direct numerical simulations. The study is based on the filtering of the low Mach number equations, suited to low Mach number flows…

流体动力学 · 物理学 2020-06-09 Dorian Dupuy , Adrien Toutant , Françoise Bataille

We present first results of an implicit large eddy simulation of the MTU T161 low pressure turbine at a Reynolds number of 90,000 and Mach number of 0.6, both based on isentropic exit conditions, using a high order discontinuous Galerkin…

流体动力学 · 物理学 2022-12-19 Christian Morsbach , Michael Bergmann , Adem Tosun , Edmund Kügeler , Matthias Franke

Wall-pressure fluctuations are a practically robust input for real-time control systems aimed at modifying wall-bounded turbulence. The scaling behaviour of the wall-pressure--velocity coupling requires investigation to properly design a…

流体动力学 · 物理学 2024-01-11 Woutijn J. Baars , Giulio Dacome , Myoungkyu Lee

We perform numerical simulations of a turbulent channel flow over an hyper-elastic wall. In the fluid region the flow is governed by the incompressible Navier-Stokes (NS) equations, while the solid is a neo-Hookean material satisfying the…

流体动力学 · 物理学 2017-11-22 Marco E. Rosti , Luca Brandt

The Large Eddy Simulation (LES) approach - solving numerically the large scales of a turbulent system and accounting for the small-scale influence through a model - is applied to nonlinear gyrokinetic systems that are driven by a number of…

等离子体物理 · 物理学 2015-06-18 A. Bañón Navarro , B. Teaca , F. Jenko , G. W. Hammett , T. Happel , the ASDEX Upgrade Team

Large-eddy simulations of incompressible Newtonian fluid flows with approximate deconvolution models based on the van Cittert method are reported. The Legendre spectral element method is used for the spatial discretization to solve the…

A large eddy simulation (LES) with an extended Smagorinsky model has been carried to investigate numerically the fully developed turbulent flow of a shear thinning fluid (n=0.75) in a stationary pipe at a simulation's Reynolds number equals…

流体动力学 · 物理学 2020-06-01 Mohamed Abdi , Meryem Ould-Rouiss , Abdelkader Noureddine

The grid-to-rod fretting (GTRF) problem in pressurized water reactors is a flow-induced vibration problem that results in wear and failure of the fuel rods in nuclear assemblies. In order to understand the fluid dynamics of GTRF and to…

流体动力学 · 物理学 2013-07-18 J. Bakosi , M. A. Christon , R. B. Lowrie , L. A. Pritchett-Sheats , R. R. Nourgaliev

We present a shock capturing method for large-eddy simulation of turbulent flows. The proposed method relies on physical mechanisms to resolve and smooth sharp unresolved flow features that may otherwise lead to numerical instability, such…

计算物理 · 物理学 2018-06-19 Pablo Fernandez , Ngoc-Cuong Nguyen , Jaime Peraire

The present research proposes a new memory-efficient method using diffusion models to inject turbulent inflow conditions into Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) for various flow problems. A guided diffusion…

(Abridged) In the implicit large eddy simulation (ILES) paradigm, the dissipative nature of high-resolution shock-capturing schemes is exploited to provide an implicit model of turbulence. Recent 3D simulations suggest that turbulence might…

高能天体物理现象 · 物理学 2015-08-21 David Radice , Sean M. Couch , Christian D. Ott

Characterizing the dynamics of a cantilever in channel flow is relevant to applications ranging from snoring to energy harvesting. Aeroelastic flutter induces large oscillating amplitudes and sharp changes with frequency that impact the…

流体动力学 · 物理学 2019-03-11 Luis Phillipe Tosi , Tim Colonius

The prediction of aircraft aerodynamic quantities of interest remains among the most pressing challenges for computational fluid dynamics. The aircraft aerodynamics are inherently turbulent with mean-flow three-dimensionality, often…

流体动力学 · 物理学 2021-05-25 Adrián Lozano-Durán , Hyunji Jane Bae

Natural ventilation is gaining popularity in response to an increasing demand for a sustainable and healthy built environment, but the design of a naturally ventilated building can be challenging due to the inherent variability in the…

流体动力学 · 物理学 2023-02-09 Yunjae Hwang , Catherine Gorlé