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We formulate a data-driven, physics-constrained closure method for coarse-scale numerical simulations of turbulent fluid flows. Our approach involves a closure scheme that is non-local both in space and time, i.e. the closure terms are…

流体动力学 · 物理学 2021-02-16 Alexis-Tzianni G. Charalampopoulos , Themistoklis P. Sapsis

We model a 3D turbulent fluid, evolving toward a statistical equilibrium, by adding to the equations for the mean field $(v, p)$ a term like $-\alpha \nabla\cdot(\ell(x) D v_t)$. This is of the Kelvin-Voigt form, where the Prandtl mixing…

偏微分方程分析 · 数学 2019-07-23 Cherif Amrouche , Luigi C. Berselli , Roger Lewandowski , Dinh Duong Nguyen

We present a unified variational mechanics framework for cavitating turbulent flows and structural motions via a stabilized finite element formulation. To model the finite mass transfer rate in cavitation phenomena, we employ the homogenous…

流体动力学 · 物理学 2021-02-22 Suraj R. Kashyap , Rajeev K. Jaiman

A series of direct numerical simulations in large computational domains has been performed in order to probe the spatial feature robustness of the Taylor rolls in turbulent Taylor-Couette (TC) flow. The latter is the flow between two…

流体动力学 · 物理学 2017-04-21 Rodolfo Ostilla-Mónico , Detlef Lohse , Roberto Verzicco

The relation between rotating plane Couette and Taylor-Couette flows is clarified. The identity of their linear stability limits is explained by considering the effect of the Coriolis force in the rotating frame. Experimental data are used…

流体动力学 · 物理学 2007-05-23 P. -Y. Longaretti

Nonlinear triadic interactions are at the heart of our understanding of turbulence. In flows where waves are present modes must not only be in a triad to interact, but their frequencies must also satisfy an extra condition: the interactions…

流体动力学 · 物理学 2016-12-21 P. Clark di Leoni , P. D. Mininni

Flutter stability is a dominant design constraint of modern gas and steam turbines. To further increase the feasible design space, flutter-tolerant designs are currently explored, which may undergo Limit Cycle Oscillations (LCOs) of…

计算工程、金融与科学 · 计算机科学 2021-02-12 Christian Berthold , Johann Gross , Christian Frey , Malte Krack

In this paper, we consider a modified projected Gauss-Newton method for solving constrained nonlinear least-squares problems. We assume that the functional constraints are smooth and the the other constraints are represented by a simple…

最优化与控制 · 数学 2025-04-02 Yassine Nabou , Lucian Toma , Ion Necoara

Shearing and rotational forces in fluids can significantly alter the transport of momentum.A numerical investigation was undertaken to study the role of these forces using plane Couette flow subject to rotation about an axis perpendicular…

流体动力学 · 物理学 2015-06-23 Matthew Salewski , Bruno Eckhardt

Potential flow has many applications, including the modelling of unsteady flows in aerodynamics. For these models to work efficiently, it is best to avoid Biot-Savart interactions. This work presents a grid-based treatment of potential…

流体动力学 · 物理学 2022-05-11 Diederik Beckers , Jeff D. Eldredge

Based on the solution of Atanasiu et al. (2004), a theoretical model for axisymmetric vortex flows is derived in the present study by solving the vorticity transport equation for an inviscid, incompressible fluid in cylindrical coordinates.…

流体动力学 · 物理学 2016-01-26 Ruo-Qian Wang

Empirical observations show that turbulence exhibits a broad range of scaling exponents, characterizing how the velocity gradients diverge in the inviscid limit. These exponents are thought to be linked to singular solutions of the Euler…

混沌动力学 · 物理学 2025-11-11 Guillaume Costa , Amaury Barral , Adrien Lopez , Quentin Pikeroen , Bérengère Dubrulle

Astrophysical and geophysical fluids commonly generate organized magnetic fields, despite having enormous magnetic Reynolds numbers $\rm{Rm}$ and abundant small-scale turbulence. Flow-induced dynamo action produces these fields, with the…

Nonlinear machine learning for turbulent flows can exhibit robust performance even outside the range of training data. This is achieved when machine-learning models can accommodate scale-invariant characteristics of turbulent flow…

流体动力学 · 物理学 2024-04-10 Kai Fukami , Susumu Goto , Kunihiko Taira

In this study, realizable algebraic Reynolds stress modeling based on the square root tensor [Phys. Rev. E \textbf{92}, 053010 (2015)] is further developed for extending its applicability to more complex flows. In conventional methods, it…

流体动力学 · 物理学 2019-11-13 Kazuhiro Inagaki , Taketo Ariki , Fujihiro Hamba

A new model for the "rapid" part of the velocity/pressure-gradient correlation in the Reynolds averaged Navier-Stokes equations is suggested. It is shown that in an inhomogeneous incompressible turbulent flow, the model that is linear in…

流体动力学 · 物理学 2007-05-23 Svetlana V. Poroseva

Experiments in a modified Taylor-Couette device, spanning Reynolds numbers of $10^5$ to greater than $10^6$, reveal the nonlinear stability of astrophysically-relevant flows. Nearly ideal rotation, expected in the absence of axial…

天体物理仪器与方法 · 物理学 2014-03-04 Eric M. Edlund , Hantao Ji

The application of control tools to complex flows frequently requires approximations, such as reduced-order models and/or simplified forcing assumptions, where these may be considered low-rank or defined in terms of simplified statistics…

流体动力学 · 物理学 2022-03-14 Eduardo Martini , Junoh Jung , André V. G. Cavalieri , Peter Jordan , Aaron Towne

Understanding the flow dynamics of non-Newtonian fluids is crucial in various engineering, industrial, and biomedical applications. However, the existing generalized Reynolds number formulations for non-Newtonian fluids have limited…

流体动力学 · 物理学 2024-07-04 Coskun Bilgi , Niema M Pahlevan

Coherent turbulent wave-packet structures in a jet at Reynolds number 460000 and Mach number 0.4 are extracted from experimental measurements and are modeled as linear fluctuations around the mean flow. The linear model is based on harmonic…

流体动力学 · 物理学 2019-06-12 Lutz Lesshafft , Onofrio Semeraro , Vincent Jaunet , André V. G. Cavalieri , Peter Jordan