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.
On this page
The question for today
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 with 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 . 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 . Averaging Navier–Stokes adds the divergence of this covariance tensor to the mean momentum balance. A common stress convention writes the turbulent contribution as . 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.
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 . Its isotropic part contains turbulent kinetic energy k. Unlike molecular viscosity, 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.
Check transfer between mean flow and fluctuations
The turbulent kinetic-energy production per unit mass is . In a simple shear this reduces to . 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.
Work it through
From four paired samples to production
Four equally weighted fluctuation pairs , in m/s, are , , , and . Take and . Calculate the sample covariance, stress contribution, and production.
Each component has sample mean zero. The four products are −2, −2, −0.5, and −0.5 in . Their equally weighted average is .
Using the stated stress convention, . Zero separate means have not eliminated momentum transport.
The production per unit mass is . The positive sign indicates mean-to-fluctuation transfer for this shear.
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.
The living notebook
Explore the model
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.
- Sum at x = 0
- 0.866
- Resultant amplitude
- 1.732
- Phase difference
- 60°
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.
Pause & reason
Check your understanding
Your turn
Try it yourself
Assume the simple-shear eddy-viscosity closure gives . With , , and , 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 . Thus and . 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.
Keep the idea
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.
Read further
Original sources and deeper explanations to follow at your own pace.
Optional progress, saved in this browser when available. Revisit any lesson at any time.
Lesson not marked complete.