Transonic Buffet

Category: Fluid Analysis (CFD) | Integrated 2026-04-06
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Transonic Buffet โ€” Theory and Physical Mechanisms

Transonic Buffet: Theoretical Foundations

What is Transonic Buffet?

๐Ÿง‘โ€๐ŸŽ“

Professor, what exactly is happening in the phenomenon of transonic buffet?


๐ŸŽ“

Transonic buffet is an unsteady phenomenon where the shock wave on the wing surface oscillates spontaneously back and forth. In the transonic regime around Mach 0.7-0.85, as the angle of attack or flight speed increases, the shock wave strengthens, and beyond a certain point, it begins to move periodically forward and backward. This oscillation imposes unsteady aerodynamic loads on the wing, causing aircraft vibration (buffeting).


๐Ÿง‘โ€๐ŸŽ“

You mean the shock wave oscillates by itself? Without any external excitation?


๐ŸŽ“

Exactly. The most important characteristic of transonic buffet is that it is a self-sustained oscillation. Even without periodic disturbances from outside, the shock wave continues to oscillate due to an internal feedback mechanism within the flow field. Its frequency is typically $St = fL/U_{\infty} \approx 0.06-0.08$, scaled by the wing chord length and freestream velocity.


Buffet Onset Mechanism

๐Ÿง‘โ€๐ŸŽ“

What is the feedback mechanism for the self-sustained oscillation?


๐ŸŽ“

The Lee model (1990) is the most frequently cited. The feedback loop consists of the following four stages.


๐ŸŽ“

1. When the shock wave moves downstream, the shock wave/boundary layer interaction intensifies, causing the boundary layer to separate.

2. Pressure waves (acoustic waves) propagate upstream from the separation region.

3. The pressure waves reach the leading edge, generating new disturbances near the leading edge.

4. These disturbances are convected downstream and push the shock wave back upstream.


The period of this cycle can be estimated as $T = L_{ss}/a_{down} + L_{ss}/U_{conv}$. $L_{ss}$ is the distance between the shock wave and the trailing edge, $a_{down}$ is the speed of sound downstream, and $U_{conv}$ is the convection velocity of the disturbances.


๐Ÿง‘โ€๐ŸŽ“

Can we predict the conditions for buffet onset?


๐ŸŽ“

The buffet onset boundary is an important parameter in flight envelope design. The divergence Mach number $M_{div}$ can be detected in CFD as the condition where the RMS value of wall pressure exceeds a certain threshold. Practically, the drag divergence Mach number ($dC_D/dM = 0.1$) serves as a good indicator for buffet onset.


$$ M_{buffet} \approx M_{div} + \Delta M_{margin} $$

In aircraft design, the cruise Mach number is set with a sufficient margin (typically 0.03-0.05 Mach) from the buffet boundary.


Airbus A320 Buffet Problem

๐Ÿง‘โ€๐ŸŽ“

Are there any real-world cases where buffet became a problem?


๐ŸŽ“

Transonic buffet is one of the factors limiting the flight envelope of all commercial airliners. When flying at high altitudes and high Mach numbers, the buffet boundary of the upper surface shock wave defines the operational limit. When encountering turbulence, if the angle of attack increases, there is a possibility of exceeding the buffet boundary and causing airframe vibration. Therefore, FAR/CS 25.251 requires a margin of 1.3g or more.

Coffee Break Trivia Corner

The True Nature of That "Shuddering Sensation" on Airliners

Have you ever been on a plane flying around Mach 0.85 and felt the airframe shudder? That's transonic buffet. The shock wave formed on the upper wing surface moves periodically back and forth, interacting with boundary layer separation to cause unsteady lift fluctuations. In the 1960s, predicting this phenomenon was difficult, and there were cases where it was discovered during the first flight, leading to sudden restrictions on the flight envelope. Nowadays, it can be detected before flight using CFD URANS calculations, but it remains a challenging problem due to discrepancies with wind tunnel results.

Computational Methods for Transonic Buffet

Analysis Method Selection

๐Ÿง‘โ€๐ŸŽ“

Which method is suitable for CFD analysis of transonic buffet?


๐ŸŽ“

Since buffet is an unsteady phenomenon, it naturally cannot be predicted by steady RANS analysis. Let's compare the options for unsteady methods.


MethodBuffet Frequency PredictionAmplitude Prediction3D EffectsComputational Cost
2D URANSGood (ยฑ10%)Tends to overestimateNoLow
3D URANSGoodModerate accuracyYesMedium
DDES/IDDESGoodGoodYesHigh
Wall-Resolved LESHigh accuracyHigh accuracyYesVery High
ZDES (Zonal DES)GoodGoodYesHigh
๐Ÿง‘โ€๐ŸŽ“

Can buffet frequency be predicted even with 2D URANS?


๐ŸŽ“

For the buffet problem of the ONERA OAT15A airfoil, 2D URANS prediction accuracy for frequency is not bad. However, 2D cannot reproduce the three-dimensional structure of separation (cell structure, spanwise wavenumber), so it tends to overestimate buffet load amplitude. 2D URANS is sufficient for initial screening in design, but 3D analysis is needed for quantitative evaluation of structural loads.


Influence of Turbulence Model

๐Ÿง‘โ€๐ŸŽ“

Does the turbulence model in URANS change buffet prediction?


๐ŸŽ“

It changes significantly. The influence on buffet onset conditions is particularly notable.


๐ŸŽ“
  • SA (Spalart-Allmaras): Predicts buffet onset later (by about 0.5-1 degree higher in angle of attack). Buffet frequency is slightly underestimated.
  • SST $k$-$\omega$: Buffet onset is close to experiment. Frequency also good. However, amplitude tends to be slightly overestimated.
  • EARSM (Explicit Algebraic RSM): Improves separation prediction due to nonlinear eddy viscosity terms.
  • $k$-$\omega$ DDES: Can capture the Kelvin-Helmholtz instability of the separated shear layer, making amplitude prediction the most accurate.

๐Ÿง‘โ€๐ŸŽ“

So, SST $k$-$\omega$ based DDES is the practical best balance, right?


๐ŸŽ“

Exactly. ONERA's ZDES (Zonal DES) is a method that explicitly zones the RANS region near the wall and the LES region in the separated area, and is being vigorously validated by the French aerospace agency. It yields the most reliable results for buffet analysis.


Time Resolution Settings

๐Ÿง‘โ€๐ŸŽ“

How small should the time step be set?


๐ŸŽ“

The typical buffet frequency is $f \approx 60-80$ Hz (for a chord length of 1m, $M = 0.73$). A time step that divides this period into at least 50-100 parts is necessary.


$$ \Delta t \approx \frac{1}{50f} \approx \frac{1}{50 \times 70} \approx 2.9 \times 10^{-4} \text{ s} $$

For DES/LES, an even smaller time step is needed to match the time scale of turbulent structures. Set it to satisfy $\Delta t \cdot U_{\infty} / \Delta x < 1$ (the CFL condition).


๐ŸŽ“

To remove the initial transient in unsteady calculations, it is standard to compute at least 10-20 buffet cycles and then take statistical averages over the subsequent 10-20 cycles. That means the total number of calculation steps is on the order of 20-40 cycles ร— 50-100 steps/cycle = 1000-4000 steps (URANS) to tens of thousands of steps (DES).

Coffee Break Trivia Corner

URANS vs DESโ€”"What Do You Want to Know?" Rather Than "Which is Correct?"

Engineers who have tried both URANS and DES for transonic buffet analysis hit the wall: "DES matches the shock oscillation frequency better, but takes 10 times longer to compute." In practice, it's common to use fast, coarse URANS for sensitivity analysis in the early design stages, and use DES only for final verification. If the goal is to find the critical Mach number for buffet onset, even just searching for the "kink" in the lift curve with steady RANS can sometimes yield practical accuracy. Method selection is not about tool superiority, but is determined by the answer to the question, "What accuracy is needed in which phase of the design?"

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