research35 min studyLesson 188 in Physics

Reynolds averaging and closure problems

Derive the mean momentum correction from velocity correlations, calculate turbulent production, and distinguish an exact average from an empirical closure.

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What you’ll understand

  • Explain how a quadratic advective term creates a Reynolds stress.
  • Calculate a velocity covariance and its mean-shear energy production.
  • State what an eddy-viscosity closure assumes and what it leaves unresolved.

An engineer may need the average force on a structure rather than every instantaneous swirl. Averaging the fluid equations seems like a natural shortcut, but nonlinear advection couples the mean to correlations of the fluctuations. Those correlations are physical momentum transport, not an algebraic error to discard. Reynolds averaging gives an exact mean equation under its assumptions; obtaining a usable predictive model then requires additional information about the unresolved correlations.

Average the product, not only its factors

Decompose incompressible constant-density velocity as ui=Ui+ui′u_i=U_i+u_i' with Ui=⟨ui⟩U_i=\langle u_i\rangle and zero mean fluctuation. Use an ensemble average, or another averaging operation for which the required linearity and derivative-commutation properties hold. The average product becomes ⟨uiuj⟩=UiUj+⟨ui′uj′⟩\langle u_i u_j\rangle=U_iU_j+\langle u_i'u_j'\rangle. Zero individual fluctuation means do not make the product average vanish. A streamwise fluctuation correlated with cross-stream motion transports streamwise momentum even when the mean cross-stream velocity is zero.

Define Rij=⟨ui′uj′⟩R_{ij}=\langle u_i'u_j'\rangle. Averaging Navier–Stokes adds the divergence of this covariance tensor to the mean momentum balance. A common stress convention writes the turbulent contribution as τijR=−ρRij\tau^R_{ij}=-\rho R_{ij}. State the sign convention because other authors discuss the positive covariance as the Reynolds stress itself. The diagonal covariances are nonnegative, and their trace gives twice the turbulent kinetic energy per unit mass. Off-diagonal components may have either sign.

∂tUi+Uj∂jUi=−1ρ∂iP+ν∂j∂jUi−∂jRij,Rij=⟨ui′uj′⟩\partial_tU_i+U_j\partial_jU_i=-\frac1\rho\partial_iP+\nu\partial_j\partial_jU_i-\partial_jR_{ij},\qquad R_{ij}=\langle u_i'u_j'\rangle
Repeated Cartesian indices are summed. Density and viscosity are constant, mean velocity is incompressible, and the averaging operation is assumed to commute with the derivatives used here.↔ Scroll wide equations horizontally.

The missing correlations form a hierarchy

The mean equation contains additional unknown covariances. Deriving an exact transport equation for them introduces triple velocity correlations, pressure–velocity effects, and dissipation information. Deriving equations for the new quantities produces still more unknowns. This hierarchy is the closure problem. It is not solved by adding enough names to the unknown variables. A closure introduces relations or modeled transport terms, justified and assessed for the intended regime using physical constraints, resolved data, experiments, and validation cases.

The Boussinesq eddy-viscosity ansatz relates the deviatoric covariance to mean strain using a modeled turbulent viscosity νt\nu_t. Its isotropic part contains turbulent kinetic energy k. Unlike molecular viscosity, νt\nu_t is not a material constant fixed by the fluid alone. It depends on the flow and the closure. The ansatz imposes alignment and locality assumptions that can be poor for strong anisotropy, rotation, separation, or rapid changes. More elaborate Reynolds-stress closures relax some assumptions but introduce their own modeled terms.

−Rij=2νtSij−23kδij,Sij=12(∂jUi+∂iUj),k=12Rii-R_{ij}=2\nu_t S_{ij}-\frac23k\delta_{ij},\quad S_{ij}=\frac12(\partial_jU_i+\partial_iU_j),\quad k=\frac12R_{ii}
This is an eddy-viscosity closure for incompressible mean strain, not an exact consequence of averaging. The isotropic term maintains the trace relation and may be absorbed into a modified mean pressure.↔ Scroll wide equations horizontally.

Check transfer between mean flow and fluctuations

The turbulent kinetic-energy production per unit mass is P=−Rij∂jUi\mathcal P=-R_{ij}\partial_jU_i. In a simple shear Ux=U(y)U_x=U(y) this reduces to −⟨u′v′⟩dU/dy-\langle u'v'\rangle dU/dy. A negative streamwise–wall-normal covariance in a positive mean gradient therefore yields positive production: energy passes from the mean flow into fluctuations. This term is a transfer between two budgets, not an extra source of total kinetic energy. Molecular dissipation ultimately converts kinetic energy into internal energy.

A local production estimate does not guarantee a local production–dissipation equilibrium. Advection, pressure transport, turbulent transport, and viscous diffusion can carry energy into or out of the region. A model calibrated on one nearly equilibrated flow can fail where these terms matter strongly. Check mean forces, profiles, stress components, and energy budgets separately when possible. A closure that predicts one drag coefficient well has not thereby recovered every turbulent statistic, and a visually plausible mean profile is not a universal solution to turbulence.

From four paired samples to production

Four equally weighted fluctuation pairs (u′,v′)(u',v'), in m/s, are (2,−1)(2,-1), (−2,1)(-2,1), (1,−0.5)(1,-0.5), and (−1,0.5)(-1,0.5). Take ρ=2 kg m−3\rho=2\,\mathrm{kg\,m^{-3}} and dU/dy=4 s−1dU/dy=4\,\mathrm{s^{-1}}. Calculate the sample covariance, stress contribution, and production.

  1. Each component has sample mean zero. The four products are −2, −2, −0.5, and −0.5 in m2 s−2\mathrm{m^2\,s^{-2}}. Their equally weighted average is Rxy=−1.25 m2 s−2R_{xy}=-1.25\,\mathrm{m^2\,s^{-2}}.

  2. Using the stated stress convention, τxyR=−ρRxy=−(2)(−1.25)=2.5 Pa\tau^R_{xy}=-\rho R_{xy}=-(2)(-1.25)=2.5\,\mathrm{Pa}. Zero separate means have not eliminated momentum transport.

  3. The production per unit mass is P=−Rxy(dU/dy)=1.25×4=5 m2 s−3\mathcal P=-R_{xy}(dU/dy)=1.25\times4=5\,\mathrm{m^2\,s^{-3}}. The positive sign indicates mean-to-fluctuation transfer for this shear.

The result

Correlated fluctuations transport momentum and extract mean-flow energy. Four invented pairs make the arithmetic inspectable; they are not sufficient evidence of a statistically converged experimental stress.

Explore the model

Interactive lab

Interactive lab · waves

Zero means can have a nonzero product mean

Treat the two displayed components as periodic zero-mean signals. Predict the sign of their full-cycle covariance as phase changes from zero through 90 to 180 degrees, then vary amplitude ratio a. The analytic full-cycle product mean is (a/2)cos(phase); compare in-phase reinforcement with anticorrelation while using Play or Pause.

Zero means can have a nonzero product meanTwo waves share the same frequency and wave number. Playback advances t in sin(2x − t) + a sin(2x − t + phase). Current readings: Sum at x = 0: 0.866; Resultant amplitude: 1.732; Phase difference: 60°. All parameters are adjustable with the labeled controls below.−3.14−1.5701.573.14−3.4−1.701.73.4x · radiansAmplitude
SumFirst componentSecond component
Sum at x = 0
0.866
Resultant amplitude
1.732
Phase difference
60°
t = 0 s

Two waves share the same frequency and wave number. Playback advances t in sin(2x − t) + a sin(2x − t + phase). Parameter changes pause playback and recompute the model at the current elapsed time. Reset restores both parameters and returns time to zero. Playback starts paused. Adjust either parameter, then choose Play or Step.

Look forThis pair of prescribed sine waves illustrates covariance without turbulent randomness. The lab does not estimate a Reynolds stress, solve a mean-flow closure, or display the cycle-average covariance as an additional computed readout.

Check your understanding

Why does setting the mean of every velocity fluctuation to zero not remove the Reynolds-stress contribution?

Try it yourself

Assume the simple-shear eddy-viscosity closure gives Rxy=−νtdU/dyR_{xy}=-\nu_t dU/dy. With νt=0.25 m2 s−1\nu_t=0.25\,\mathrm{m^2\,s^{-1}}, dU/dy=4 s−1dU/dy=4\,\mathrm{s^{-1}}, and ρ=1.2 kg m−3\rho=1.2\,\mathrm{kg\,m^{-3}}, find covariance, stress, and production per unit mass. Which step was modeled?

Take a moment to make a prediction or work it out on paper. Open a hint when you need one.

Give me a hint

Keep density out of the per-unit-mass production. The closure relation, rather than Reynolds averaging itself, is the modeling assumption.

Compare with the solution

The modeled covariance is Rxy=−1 m2 s−2R_{xy}=-1\,\mathrm{m^2\,s^{-2}}. Thus τxyR=1.2 Pa\tau^R_{xy}=1.2\,\mathrm{Pa} and P=4 m2 s−3\mathcal P=4\,\mathrm{m^2\,s^{-3}}. Relating covariance to local mean shear through a chosen turbulent viscosity was the modeled step. The exact averaged equation does not determine that viscosity, and positive production alone does not establish local equilibrium with dissipation.

Take it with you

  • Averaging nonlinear advection introduces velocity correlations with real momentum-transport effects.
  • Reynolds averaging is exact under its averaging assumptions; an eddy-viscosity relation is a closure model.
  • Production transfers mean-flow energy into fluctuations and must be interpreted within a full energy budget.

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