Homogeneous, isotropic turbulence : phenomenology, renormalization and statistical closures /
This book addresses the idealised problem posed by homogeneous, isotropic turbulence. It is written from the perspective of a theoretical physicist, but is designed to be accessible to all researchers in turbulence, both theoretical and experimental, and from all disciplines.
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| Format: | eBook |
| Language: | English |
| Published: |
Oxford :
Oxford University Press,
2014.
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| Series: | International series of monographs on physics ;
162. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Pt. I THE FUNDAMENTAL PROBLEM, THE BASIC STATISTICAL FORMULATION, AND THE PHENOMENOLOGY OF ENERGY TRANSFER
- 1.Overview of the statistical problem
- 1.1.What is turbulence?
- 1.1.1.Definition and characteristic features
- 1.1.2.The development of turbulence
- 1.1.3.Homogeneous, isotropic turbulence (HIT)
- 1.2.The turbulence problem
- 1.2.1.The turbulence problem in real flows
- 1.2.2.Formulation of the turbulence problem in HIT
- 1.3.The characteristics of HIT
- 1.4.Turbulence as a problem in quantum field theory
- 1.5.Renormalized perturbation theory (RPT): the general idea
- 1.5.1.Primitive perturbation series of the Navier
- Stokes equations
- 1.5.2.Application to the closure problem: the response function
- 1.5.3.Renormalization
- 1.5.4.Vertex renormalization
- 1.5.5.Physical interpretation of renormalized perturbation theory
- 1.6.Renormalization group (RG) and mode elimination
- 1.6.1.RG as stirred hydrodynamics at low wavenumbers
- 1.6.2.RG as iterative conditional averaging at high wavenumbers
- 1.6.3.Discussion
- 1.7.Background reading
- References
- 2.Basic equations and definitions in x-space and k-space
- 2.1.The Navier
- Stokes equations in real space
- 2.2.Correlations in x-space
- 2.2.1.The two-point, two-time covariance of velocities
- 2.2.2.Correlation functions and coefficients in isotropic turbulence
- 2.2.3.Structure functions
- 2.3.Basic equations in k-space: finite system
- 2.3.1.The Navier
- Stokes equations
- 2.3.2.The symmetrized Navier
- Stokes equation
- 2.3.3.Moments: finite homogeneous system
- 2.4.Basic equations in k-space: infinite system
- 2.4.1.The Navier
- Stokes equations
- 2.4.2.Moments: infinite homogeneous system
- 2.4.3.Isotropic system
- 2.4.4.Stationary and time-dependent systems
- 2.5.The viscous dissipation
- 2.6.Stirring forces and negative damping
- 2.7.Fourier transforms of isotropic correlations, structure functions, and spectra
- References
- 3.Formulation of the statistical problem
- 3.1.The covariance equations
- 3.1.1.Off the time-diagonal: C(k; t, t!)
- 3.1.2.On the time diagonal: C(k; t, t) = C(k, t)
- 3.2.Conservation of energy in wavenumber space
- 3.2.1.Equation for the energy spectrum: the Lin equation
- 3.2.2.The effect of stirring forces
- 3.3.Conservation properties of the transfer spectrum T(k, t)
- 3.4.Symmetrized conservation identities
- 3.5.Alternative formulations of the triangle condition
- 3.5.1.The Edwards (k, j, [MARC+6F]) formulation
- 3.5.2.The Kraichnan (k, j, l) formulation
- 3.5.3.Conservation identities in the two formulations
- 3.6.The L coefficients of turbulence theory in the (k, j, [MARC+6F]) formulation
- 3.7.Dimensions of relevant spectral quantities
- 3.7.1.Finite system
- 3.7.2.Infinite system
- 3.8.Some useful relationships involving the energy spectrum
- 3.9.Conservation of energy in real space
- 3.9.1.Viscous dissipation
- 3.10.Derivation of the Karman
- Howarth equation
- 3.10.1.Various forms of the KHE
- 3.10.2.The KHE for forced turbulence
- 3.10.3.KHE specialized to the freely decaying and stationary cases
- References
- 4.Turbulence energy: its inertial transfer and dissipation
- 4.1.The test problems
- 4.1.1.Test Problem 1: free decay of turbulence
- 4.1.2.Test problem 2: stationary turbulence
- 4.2.The Lin equation for the spectral energy balance
- 4.2.1.The stationary case
- 4.2.2.The global energy balances
- 4.3.The local spectral energy balance
- 4.3.1.The energy flux
- 4.3.2.Local spectral energy balances: stationary case
- 4.3.3.The limit of infinite Reynolds number
- 4.3.4.The peak value of the energy flux
- 4.4.Summary of expressions for rates of dissipation, decay, energy injection, and inertial transfer
- 4.5.The Karman
- Howarth equation as an energy balance in real space
- 4.6.The Kolmogorov (1941) theory: K41
- 4.6.1.The `2/3' law: K41A
- 4.6.2.The `4/5' law
- 4.6.3.The `2/3' law again: K41B
- 4.7.The Kolmogorov (1962) theory: K62
- 4.8.Some aspects of the experimental picture
- 4.8.1.Spectra
- 4.8.2.Structure functions
- 4.9.Is Kolmogorov's theory K41 or K62?
- References
- pt. II PHENOMENOLOGY: SOME CURRENT RESEARCH AND UNRESOLVED ISSUES
- 5.Galilean invariance
- 5.1.Historical background
- 5.2.Some relativistic preliminaries
- 5.3.Galilean relativistic treatment of the Navier
- Stokes equation
- 5.3.1.Galilean transformations and invariance of the NSE
- 5.4.The Reynolds decomposition
- 5.4.1.Galilean transformation of the mean and fluctuating velocities
- 5.4.2.Transformation of the mean-velocity equation to S
- 5.4.3.Transformation of the equation for the fluctuating velocity to S
- 5.5.Constant mean velocity
- 5.6.Is vertex renormalization suppressed by GI?
- 5.7.Extension to wavenumber space
- 5.7.1.Invariance of the NSE in k-space
- 5.7.2.The Reynolds decomposition
- 5.8.Moments of the fluctuating velocity field
- 5.9.The covariance equations
- 5.9.1.Covariance equation for t ≠ t'
- 5.9.2.The covariance equation for t = t'
- 5.10.Two-time closures
- 5.11.Filtered equations of motion: LES and RG
- 5.12.Concluding remarks
- References
- 6.Kolmogorov's (1941) theory revisited
- 6.1.Standard criticisms of Kolmogorov's (1941) theory
- 6.1.1.The effect of intermittency
- 6.1.2.Local cascade or `nonlocal' vortex stretching?
- 6.1.3.Problems with averages
- 6.1.4.Anomalous exponents
- 6.2.The scale-invariance paradox
- 6.2.1.Scale invariance
- 6.2.2.The paradox
- 6.2.3.Resolution of the paradox
- 6.3.Scale invariance and the `-5/3' inertial-range spectrum
- 6.3.1.The scale-invariant inertial subrange
- 6.3.2.The inertial-range energy spectrum
- 6.3.3.Calculation of the Kolmogorov prefactor
- 6.3.4.The limit of infinite Reynolds number
- 6.4.Finite-Reynolds-number effects on K41: theoretical studies
- 6.4.1.Batchelor's interpolation function for the second-order structure function
- 6.4.2.Effinger and Grossmann (1987)
- 6.4.3.Barenblatt and Chorin (1998)
- 6.4.4.Qian (2000)
- 6.4.5.Gamard and George (2000)
- 6.4.6.Lundgren (2002)
- 6.5.Finite-Reynolds-number effects on K41: experimental and numerical studies
- 6.6.Discussion
- References
- 7.Turbulence dissipation and decay
- 7.1.The mean dissipation rate
- 7.2.Dependence on the Taylor
- Reynolds number
- 7.3.The behaviour of the dissipation rate according to the Karman
- Howarth equation
- 7.3.1.The dependence of the dimensionless dissipation rate on Reynolds number
- 7.4.A reinterpretation of the Taylor dissipation surrogate
- 7.4.1.Reinterpretation of Taylor's expression based on results from DNS
- 7.5.Freely decaying turbulence: the background
- 7.5.1.Variation of the Taylor microscale during decay
- 7.5.2.The energy spectrum at small wavenumbers
- 7.5.3.The final period of the decay
- 7.5.4.The Loitsiansky and Saffman integrals
- 7.6.Free decay: the classical era
- 7.6.1.Taylor (1935)
- 7.6.2.Von Karman and Howarth (1938)
- 7.6.3.Kolmogorov's prediction of the decay exponents
- 7.6.4.Batchelor (1948)
- 7.6.5.The non-invariance of the Loitsiansky integral
- 7.7.Theories of the decay based on spectral models
- 7.7.1.Two-range spectral models
- 7.7.2.Three-range spectral models
- 7.8.Free decay: towards universality?
- 7.8.1.The effect of initial conditions
- 7.8.2.Fractal-generated turbulence
- References
- 8.Theoretical constraints on mode reduction and the turbulence response
- 8.1.Spectral large-eddy simulation
- 8.1.1.Statement of the problem
- 8.1.2.Spectral filtering to reduce the number of degrees of freedom
- 8.2.Intermode spectral energy fluxes
- 8.2.1.Low-k partitioned energy fluxes
- 8.2.2.High-k partitioned energy fluxes
- 8.2.3.Energy conservation revisited
- 8.3.Semi-analytical studies of subgrid modelling using statistical closures
- 8.4.Studies of subgrid models using direct numerical simulation
- 8.5.Stochastic backscatter
- 8.6.Conditional averaging
- 8.7.A statistical test of the eddy-viscosity hypothesis
- 8.8.Constrained numerical simulations
- 8.8.1.Operational LES
- 8.9.Discussion
- References
- pt.
- III STATISTICAL THEORY AND FUTURE DIRECTIONS
- 9.The Kraichnan
- Wyld
- Edwards covariance equations
- 9.1.Preliminary remarks
- 9.1.1.RPTs as statistical closures
- 9.1.2.Perceptions of RPTs
- 9.1.3.Some general characteristics of RPTs
- 9.2.The problem restated: the exact covariance equations
- 9.2.1.The general inhomogeneous covariance equation
- 9.2.2.Centroid and difference coordinates
- 9.2.3.The exact covariance equations for HIT
- 9.3.A short history of closure approximations
- 9.4.The KWE covariance equations: the problem reformulated
- 9.4.1.Comparison of quasi-normality with perturbation theory
- 9.4.2.The KWE covariance equations
- 9.5.Renormalized response functions as closure approximations
- 9.5.1.Failure of the EFP and DIA closures
- 9.5.2.The Local Energy Transfer (LET) theory
- 9.6.Numerical assessment of closure theories
- 9.6.1.Some recent calculations of LET and EDQNM
- 9.7.Conclusions
- References
- 10.Two-point closures: some basic issues
- 10.1.Perturbation theory and renormalization
- 10.2.Quantum-style formalisms: Wyld
- Lee and Martin
- Siggia
- Rose
- 10.2.1.The improved Wyld
- Lee formalism
- 10.2.2.The Martin
- Siggia
- Rose formalism
- 10.3.How general are the formalisms?
- 10.4.Galilean invariance and the DIA
- 10.5.Lagrangian-history theories
- References
- 11.The renormalization group applied to turbulence
- 11.1.Formulation of conditional mode elimination for turbulence
- 11.2.Renormalization group
- 11.3.Forster
- Nelson
- Stephen theory of stirred fluid motion
- 11.3.1.Application of the RG to stirred fluid motion with asymptotic freedom as k → 0
- 11.3.2.Differential RG equations
- 11.3.3.FNS theory in terms of conditional averaging
- 11.4.Turbulence RG theories based on filtered averages
- 11.4.1.Iterative averaging: McComb (1982)