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The physical fidelity of turbulence models can benefit from a partial resolution of fluctuations, but doing so often comes with an increase in computational cost. To explore this trade-off in the context of wall-bounded flows, this paper…

流体动力学 · 物理学 2025-07-16 Tanner Ragan , Mark Warnecke , Samuel T. Stout , Perry L. Johnson

The nonequilibrium dissipation behaviour discovered for decaying fractal square grid-generated turbulence is experimentally investigated using hot-wire anemometry in a wind tunnel. The previous results are consolidated and benchmarked with…

流体动力学 · 物理学 2013-07-25 Pedro C. Valente

Direct numerical simulation (DNS) of a turbulent boundary layer over the Gaussian (Boeing) bump is performed. This boundary layer exhibits a series of adverse and favorable pressure gradients and convex and concave curvature effects before…

流体动力学 · 物理学 2023-06-12 Aviral Prakash , Riccardo Balin , John A. Evans , Kenneth E. Jansen

Elasto-inertial turbulence is a new state of turbulence found in flows with polymer additives . The dynamics of turbulence generated and controlled by such additives is investigated from the perspective of the coupling between polymer…

流体动力学 · 物理学 2015-06-12 Yves Dubief , Vincent E. Terrapon , Julio Soria

Wall-pressure fluctuations beneath turbulent boundary layers drive noise and structural fatigue through interactions between fluid and structural modes. Conventional predictive models for the spectrum--such as the widely accepted Goody…

流体动力学 · 物理学 2026-04-17 Jonathan M. O. Massey , Alexander J. Smits , Beverley J. McKeon

To isolate the multiscale dynamics of the logarithmic layer of wall-bounded turbulent flows, a novel numerical experiment is conducted in which the mean tangential Reynolds stress is eliminated except in a subregion corresponding to the…

流体动力学 · 物理学 2021-07-01 Yongseok Kwon , Javier Jimenez

The spatial characteristics and structure of an axisymmetric turbulent boundary layer under strong adverse pressure gradient and weak transverse curvature are investigated using incompressible large-eddy simulation. The boundary layer is on…

流体动力学 · 物理学 2025-01-03 Di Zhou , Kan Wang , Meng Wang

Recent advances in velocity and temperature transformations have enabled recovery of the law of the wall in compressible wall-bounded turbulent flows. Building on this foundation, a flux-controlled wall model (FCWM) for Large Eddy…

流体动力学 · 物理学 2025-12-29 Youjie Xu , Steffen J. Schmidt , Nikolaus A. Adams

A three-layer asymptotic structure for turbulent pipe flow is proposed, revealing in terms of intermediate variables, the existence of a Reynolds-number invariant logarithmic region. It provides a theoretical foundation for addressing…

流体动力学 · 物理学 2021-07-01 Sourabh S. Diwan , Jonathan F. Morrison

We report two-dimensional particle image velocimetry experiments in high Reynolds number turbulent boundary layers imposed with a moderately strong streamwise pressure gradient. The unique aspect of these data are the highly resolved…

流体动力学 · 物理学 2024-12-17 Ivan Marusic , Wagih Abu Rowin , Mitchell Lozier , Luka Lindić , Ahmad Zarei , Rahul Deshpande

The observability of the flow field away from the wall in turbulent channel flow is studied using only wall observations. Reconstructions are generated from noiseless but limited wall data using linear stochastic estimation, with emphasis…

流体动力学 · 物理学 2019-11-13 Miguel P. Encinar , Javier Jiménez

Recently, Nagib et al (2024} utilized indicator functions of profiles of the streamwise normal stress to reveal the ranges of validity, in wall distance and Reynolds number, for each of two proposed models in DNS of channel and pipe flows.…

流体动力学 · 物理学 2024-11-20 Hassan Nagib , Ivan Marusic

MHD turbulence at low Magnetic Reynolds number is experimentally investigated by studying a liquid metal flow in a cubic domain. We focus on the mechanisms that determine whether the flow is quasi-2D, 3D or in any intermediate state. To…

流体动力学 · 物理学 2015-05-19 A. Pothérat , R. Klein

Most flows in nature and engineering are turbulent because of their large velocities and spatial scales. Laboratory experiments of rotating quasi-Keplerian flows, for which the angular velocity decreases radially but the angular momentum…

流体动力学 · 物理学 2017-11-21 Jose M. Lopez , Marc Avila

The inner-outer interaction model (Marusic, Mathis & Hutchins, Science, vol. 329, 2010, 193-196) and the attached-eddy model (Townsend, Cambridge University Press, 1976) are two fundamental models describing the multi-scale turbulence…

流体动力学 · 物理学 2022-05-17 Cheng Cheng , Lin Fu

Turbulent signals are known to exhibit burst-like activities, which affect the turbulence statistics at both large and small scales of the flow. In our study, we pursue this problem from the perspective of an event-based framework, where…

流体动力学 · 物理学 2023-01-26 Subharthi Chowdhuri , Tirtha Banerjee

The turbulent flow within and above a sparse canopy is investigated using direct numerical simulations. The balance of Reynolds to viscous stresses within the canopy is observed to be similar to that over a smooth wall. From this, a scaling…

流体动力学 · 物理学 2018-10-25 Akshath Sharma , Ricardo García-Mayoral

Mixing and heat transfer rates are typically enhanced when operating at high-pressure transcritical turbulent flow regimes. The rapid variation of thermophysical properties in the vicinity of the pseudo-boiling region can be leveraged to…

流体动力学 · 物理学 2024-09-27 Marc Bernades , Francesco Capuano , Lluis Jofre

Elasto-inertial turbulence (EIT) has been demonstrated to be able to sustain in two-dimensional (2D) channel flow; however the systematic investigations on 2D EIT remain scare. This study addresses this gap by examining the statistical…

流体动力学 · 物理学 2025-09-10 Haotian Cheng , Hongna Zhang , Wenhua Zhang , Suming Wang , Yuke Li , Xiaobin Li , Fengchen Li

We present a unique method for solving for the Reynolds stress in turbulent canonical flows, which is based on momentum balance for a control volume moving at the local mean velocity. Comparisons with experimental and computational data in…

流体动力学 · 物理学 2017-08-04 T. -W. Lee , Jung Eun Park