The Strouhal Number — The Rhythm of Vortex Shedding
“Why do power lines sing in the wind? Why did the Tacoma Narrows Bridge oscillate itself to destruction? Why do fish and dolphins move their tails at a very specific frequency? A single dimensionless number — the Strouhal number, St ≈ 0.2 — governs all of these phenomena.”
1. Introduction
When a uniform flow encounters a bluff body — a cylinder, a bridge deck, a smokestack, a wire — the downstream wake does not remain steady. Instead, the boundary layer separates alternately from each side of the body, producing a staggered double row of counter-rotating vortices known as the Kármán vortex street. This periodic vortex shedding exerts an oscillating side force on the body at the shedding frequency $f$.
The Strouhal number (St) is the dimensionless ratio that collapses this frequency into a universal constant, independent of fluid properties and (to a good approximation) of flow speed:
Definition and Parameters
$$St = rac{fL}{v}$$
- $f$ — vortex shedding frequency (Hz)
- $L$ — characteristic length: cylinder diameter $D$, body thickness, or amplitude of oscillation (m)
- $v$ — free-stream velocity (m/s)
For a circular cylinder over $300 < Re < 2 imes10^5$: $$St pprox 0.20 quad ext{(universal constant)}$$
Dimensional check: $[fL/v] = ext{s}^{-1} cdot ext{m} / ( ext{m/s}) = ext{dimensionless}.$
2. Historical Background
Vincenc Strouhal (1850–1922) was a Czech physicist who, in 1878, systematically measured the frequencies of “aeolian tones” — the musical sounds produced by wires and strings exposed to wind. He found empirically that $f propto v/D$ with a proportionality constant close to 0.185. His paper, published in Annalen der Physik, established the dimensionless group that now bears his name.
Theodore von Kármán (1881–1963) provided the theoretical foundation in 1911, showing that the alternating vortex street is the only stable configuration downstream of a bluff body. He derived that the transverse spacing-to-longitudinal spacing ratio of the vortices must be $h/a pprox 0.281$ for stability.
3. The Kármán Vortex Street
Above Re ≈ 40, the symmetric pair of steady recirculating eddies behind a cylinder becomes unstable. Vortices are shed alternately from the top and bottom of the body, creating an asymmetric wake: a double row of vortices with opposite circulations, staggered with one vortex on each side per half-cycle.
Each shedding event creates a transverse (lift) force impulse on the body. This oscillating lift force has frequency $f_{shed}$ and can drive resonance in flexible structures.
St vs. Re for a Circular Cylinder
| Re range | St | Flow regime |
|---|---|---|
| < 5 | — | Attached flow, no separation |
| 5–40 | — | Steady recirculating eddies (Föppl vortices) |
| 40–150 | 0.10–0.16 | Periodic laminar shedding begins |
| 150–300 | 0.16–0.21 | Transition; wake becomes 3D |
| 300–3×10⁵ | ~0.20 | Fully turbulent Kármán street |
| 3×10⁵–3.5×10⁶ | ~0.25 | Turbulent boundary layer, narrower wake |
| > 3.5×10⁶ | ~0.27 | Fully turbulent BL on both sides |
4. Aeolian Tones — Wind Makes Music
Aeolian tones (from Aeolus, Greek god of wind) are the musical notes produced when wind flows over cylindrical obstacles such as strings, wires, and pipes. The tone frequency equals the vortex shedding frequency:
$$f_{aeolian} = rac{St cdot v}{D} pprox rac{0.20, v}{D}$$
Worked Example 1: Power Line Singing in Wind
A power transmission cable has diameter $D = 8$ mm. Wind speed $v = 10$ m/s.
$$f = rac{0.20 imes 10}{0.008} = rac{2.0}{0.008} = 250 ext{ Hz}$$
250 Hz falls within the audible range (20–20,000 Hz), specifically near middle B on the musical scale. This explains the characteristic humming of power lines in moderate winds. At higher wind speeds the pitch rises proportionally.
Check Re: $Re = vD/
u = 10 imes 0.008/(1.5 imes10^{-5}) = 5333$. This is well within the $St pprox 0.20$ regime. Confirmed.
5. The Tacoma Narrows Bridge Disaster (1940)
The Tacoma Narrows Bridge in Washington State, USA, collapsed on 7 November 1940, just four months after opening. Filmed footage shows the bridge oscillating in torsion with increasing amplitude before catastrophic failure in a wind of only 67 km/h (42 mph).
The bridge had a solid plate-girder deck — unlike the open-truss decks used on older suspension bridges. Wind flowing past this solid rectangular cross-section shed vortices at:
$$f_{shed} = rac{St cdot v}{D} pprox rac{0.20 imes 18.6}{12} pprox 0.31 ext{ Hz}$$
(where $D = 12$ m is the deck depth). The bridge’s natural torsional frequency was approximately $f_n pprox 0.20$ Hz. Near resonance, a self-excited mechanism (galloping aeroelasticity, more precisely than pure VIV) built oscillations to 8.5 m amplitude before the deck tore apart.
Engineering Lessons from Tacoma Narrows
Modern bridge design prevents wind-induced resonance by:
- Aerodynamic box-girder decks (streamlined profile, not bluff body)
- Open-truss decks that allow wind to pass through
- Helical strakes and vortex spoilers to disrupt coherent shedding
- Tuned mass dampers (TMDs) to absorb vibrational energy
- Wind tunnel testing of scale models at matched Re and St
6. Vortex-Induced Vibration (VIV) and Lock-in
When a flexible structure vibrates at frequency $f_s$ close to the vortex shedding frequency $f_{shed}$, the shedding “locks in” to $f_s$ over a range of wind speeds. During lock-in, the vortices are shed at the structural frequency rather than the Strouhal frequency — even as wind speed varies within the lock-in window.
$$ ext{Lock-in range:} quad rac{f_n}{f_{Strouhal}} pprox 0.7 ext{ to } 1.4$$
Lock-in dramatically amplifies vibration amplitude because the fluid force is now always in phase with structural velocity. Structural fatigue and catastrophic failure can result.
Reduced Velocity — The Engineer’s Tool
The reduced velocity (or normalised velocity) is defined as:
$$V_r = rac{v}{f_n D}$$
Lock-in occurs near $V_r pprox 5$ (corresponding to $St = 1/V_r pprox 0.2$). This parameter is used in VIV assessment codes to identify whether a structure is at risk.
Worked Example 2: Critical Wind Speed for a Chimney
An industrial chimney: height $H = 80$ m, diameter $D = 2.5$ m, natural frequency $f_n = 0.35$ Hz.
$$v_{critical} = rac{f_n D}{St} = rac{0.35 imes 2.5}{0.20} = rac{0.875}{0.20} = 4.38 ext{ m/s} pprox 16 ext{ km/h}$$
A light breeze (Beaufort 2–3). Without helical strakes, this chimney will experience VIV at very common wind conditions. The solution: welded helical strakes over the top 30% of the chimney height that disrupt coherent shedding and increase the effective St to a range of values, preventing resonance.
7. Strouhal Number in Fish Locomotion
Taylor, Nudds and Thomas (2003) made a remarkable discovery: virtually all swimming fish and flying birds operate at Strouhal numbers in the range:
$$0.2 leq St leq 0.4$$
For swimming and flying animals, St is defined using the tail/wing stroke amplitude $A$ and flapping frequency $f$:
$$St = rac{fA}{v}$$
This range corresponds to the peak of propulsive efficiency in oscillating-foil theory. Evolution has therefore “discovered” and tuned to the same optimal St ≈ 0.25–0.30 that fluid mechanics predicts — from tiny bumblebees to blue whales.
Worked Example 3: Strouhal Number of a Tuna
Bluefin tuna: swimming speed $v = 4$ m/s, tail beat frequency $f = 3.5$ Hz, tail amplitude $A = 0.20$ m.
$$St = rac{fA}{v} = rac{3.5 imes 0.20}{4} = rac{0.70}{4} = 0.175$$
Slightly below the 0.2–0.4 window — bluefin tuna optimise for speed rather than efficiency at sprint. During sustained cruising at $v = 2$ m/s with $f = 2$ Hz and $A = 0.15$ m:
$$St = rac{2 imes 0.15}{2} = 0.15 quad ext{(efficient cruising regime)}$$
8. Vortex Flowmeters
The vortex flowmeter is one of the most widely used industrial flow measurement instruments. It exploits St ≈ 0.20 directly: a bluff strut (shedder bar) of known width $D$ is inserted into the pipe; vortices are shed at frequency $f = St cdot v/D$, detected by a piezoelectric or capacitive sensor. The pipe-average velocity and volumetric flow rate follow:
$$v = rac{f cdot D}{St}, qquad Q = v cdot A_{pipe}$$
Advantages: no moving parts, wide turndown ratio (typically 10:1 to 30:1), accuracy ±0.5–1%, suitable for steam, gas, and liquid.
Worked Example 4: Vortex Flowmeter Calibration
A vortex flowmeter has a shedder bar of width $D = 15$ mm installed in a pipe of inner diameter $D_{pipe} = 80$ mm. The sensor reads $f = 120$ Hz. Find flow velocity and volumetric flow rate.
$$v = rac{f D}{St} = rac{120 imes 0.015}{0.20} = rac{1.80}{0.20} = 9.0 ext{ m/s}$$
$$Q = 9.0 imes rac{pi (0.080)^2}{4} = 9.0 imes 5.027 imes10^{-3} = 0.0452 ext{ m}^3 ext{/s} = 45.2 ext{ L/s} = 163 ext{ m}^3 ext{/h}$$
9. Strouhal Number in Aeronautics
In aircraft aerodynamics, St appears in several unsteady flow contexts:
- Wing flutter: Aeroelastic instability occurs when the flutter frequency matches the Strouhal frequency of wake vortices from upstream components. Structural dynamic coupling must be checked against VIV.
- Wind turbines: Blade wake vortices shed at St ≈ 0.2 based on blade chord; these must not coincide with tower bending frequency.
- Car aerodynamics: Antenna rods, wing mirrors, and roof pillars all shed vortices. The resulting buffeting noise and vibration are mitigated by aerodynamic shaping (oval cross-sections increase St and shift the tone frequency out of the objectionable range).
10. St for Different Cross-Section Shapes
| Cross-section | St (approximate) | Re range |
|---|---|---|
| Circular cylinder | 0.20–0.21 | 300–2×10⁵ |
| Square cylinder | ~0.12 | Large |
| Rectangular (W/H=2) | ~0.14 | Large |
| Flat plate (normal to flow) | ~0.12 | Large |
| D-shaped section | ~0.17 | Large |
| Ellipse (2:1 aspect) | ~0.15 | Large |
| Triangle (apex upstream) | ~0.18 | Large |
11. Strouhal Number in Cardiovascular Flows
Blood flow in large arteries is pulsatile — driven by the periodic beating of the heart at frequency $f_{heart} pprox 1$–1.5 Hz. A Strouhal number (sometimes called the Womersley number in this context) characterises the ratio of oscillatory inertia to viscous forces:
$$St_{cardio} = rac{f_{heart} D_{vessel}}{v_{mean}}$$
In the aorta: $f pprox 1.2$ Hz, $D pprox 0.025$ m, $v_{mean} pprox 0.2$ m/s, giving $St pprox 0.15$. This parameter influences the development of flow separation, secondary flows, and shear stress distributions that are linked to atherosclerosis risk.
12. IYPT 2027 Connections
IYPT 2027 Relevant Problems
Oscillation problems involving flow around objects: Any IYPT problem where a body oscillates in a fluid stream — a reed, a wire, a flag, a ribbon — likely involves VIV and the Strouhal number. The shedding frequency $f = St cdot v/D pprox 0.2,v/D$ predicts whether the shedding can drive resonance.
Acoustic problems from airflow: Aeolian tones from cylindrical objects (wires, pipes, rods) are directly predicted by St. Given wind speed and wire diameter, St = 0.20 immediately gives the emitted tone frequency.
Flow-structure interaction: Lock-in, reduced velocity $V_r = v/(f_n D)$, and the lock-in range ($V_r pprox 5$) are the quantitative tools for determining whether a structure will resonate.
13. Summary of Key Applications
| Application | Typical St | Characteristic length | Key issue |
|---|---|---|---|
| Power line wind song | 0.20 | Wire diameter | Aeolian tone frequency |
| Bridge deck (VIV) | 0.10–0.20 | Deck depth | Resonance, flutter |
| Industrial chimney | 0.20 | Chimney diameter | Lock-in wind speed |
| Offshore platform leg | 0.20 | Leg diameter | Fatigue from VIV |
| Fish (cruising) | 0.25–0.35 | Tail amplitude | Max propulsive efficiency |
| Bird flight | 0.20–0.40 | Wing stroke amplitude | Optimal flapping gait |
| Vortex flowmeter | 0.20 | Shedder bar width | Flow measurement |
| Heat exchanger tubes | 0.20 | Tube diameter | Tube fatigue, acoustic resonance |
| Car antenna | ~0.20 | Antenna diameter | Buffeting noise |
14. Key Equations Summary
Strouhal Number Toolkit
- Definition: $St = fL/v$
- Universal value (circular cylinder): $St pprox 0.20$ for $300 < Re < 2 imes10^5$
- Shedding frequency: $f = St cdot v / D pprox 0.20, v/D$
- Critical wind speed for resonance: $v_{cr} = f_n D / St pprox 5 f_n D$
- Reduced velocity: $V_r = v/(f_n D)$; lock-in near $V_r pprox 5$
- Kármán vortex street stability: $h/a pprox 0.281$
- Biological locomotion: $St = fA/v in [0.2, 0.4]$ for optimal efficiency
- Vortex flowmeter: $Q = (f D / St) cdot A_{pipe}$
15. Dimensional Analysis Perspective
By the Buckingham Pi theorem, for periodic shedding from a bluff body, the relevant variables are $f$, $v$, $D$, $
ho$, and $mu$. This gives two dimensionless groups: St and Re. The empirical result that St ≈ 0.20 is nearly independent of Re (for $Re$ in the turbulent shedding regime) means that a single universal constant collapses all cylinder-wake oscillation data across many decades of Re. This is a profound and practically powerful result — the natural frequency of a wind-excited structure can be predicted from its diameter and the wind speed alone, without knowing the fluid viscosity.
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