Skip to content

    Under active development. New calculators and features ship every week. Everything currently runs free while the site matures — pricing pages are a preview, checkout is not open yet.

    Engineering / Aeroacoustic Turbulence Noise Engine

    Aeroacoustic Noise Calculator (Turbulence)

    Estimate flow-generated noise with Lighthill and Proudman theory: acoustic power, sound power level, peak frequency and Kolmogorov turbulence scales. Free tool.

    ToolCalculatorExecutionIn browserCategoryEngineering
    All calculators
    Aeroacoustic simulator
    ZorvLabs Physics Calculator

    Aeroacoustic Turbulence Noise Calculator

    Estimates aerodynamic noise from turbulent flow using Lighthill’s acoustic analogy and the Von Kármán energy spectrum. Computes quadrupole radiation, Reynolds stress, and viscous dissipation for the chosen flow and observer position.

    Methodology
    Established methods
    Inputsv1.3
    Mean Velocity U∞ [m/s]
    1 m/sTransonic: 343 m/s2500 m/s
    Turbulence Intensity I_u %
    0.5% (Laminar core)45% (High Turbulence)
    Integral Length Scale Λ [m]
    1 mmGrid filter limit (1 m)5.0 m
    Observer Radius R [m]m
    Polar Angle θ [deg, Azimuthal]°
    0° (Upstream)90° (Overhead)180° (Downstream)
    Azimuthal Angle φ [deg]°
    High-precision calculations

    Uses Decimal.js arbitrary-precision arithmetic to minimise rounding error when solving Lighthill’s compressible Reynolds momentum equations.

    ⚡ 3D Aerodynamic Viewports // Computational Fluid Core

    VIEWPORT ALighthill stress field
    NODE_01
    PARTICLES: 8,500LIGHTHILL ACTIVE
    VIEWPORT BQuadrupole directivity
    NODE_02
    MESH: 2,304 NODESMACH SCALED
    VIEWPORT CKolmogorov cascade
    NODE_03
    PARTICLES: 3,200DISSIPATING
    WebGL Renderer Status: 100% ONLINE|120 FRAME_ITERATIONS FPS
    Reynolds momentum tensor T_ij [Pa]Lighthill Analogy
    [
    30.62500.0000e+00.0000e+0
    0.0000e+030.62500.0000e+0
    0.0000e+00.0000e+030.6250
    ]
    Models the compressible momentum flux shear correlations. Fluctuations scale quadratically as ρ₀ × (u_rms)².
    Viscous shear stress tensor τ_ij [Pa]Deformation rate
    [
    0.0000e+09.1875e-40.0000e+0
    9.1875e-40.0000e+00.0000e+0
    0.0000e+00.0000e+00.0000e+0
    ]
    Models structural shear strains driven by kinematic viscosity μ × (∂u_i/∂x_j). Dissipates kinetic shear energy.
    Runs entirely in your browser — no data leaves your device.Browse all calculators
    Acoustic power (Proudman)Quadrupole
    3.830091e-8WATTS (W)
    SOUND POWER LEVEL L_W:45.83 dB
    Observer Coordinates SPLComposite
    -4.95 dBOASPL @ 100m
    POLAR ANGLE INDEX:θ:[90°] φ:[45°]
    Acoustic Mach EfficiencyRegime
    2.501284e-8scaling mathematically as Mt⁵
    TURBULENT / MEAN MACH:0.0146 / 0.1458
    Kolmogorov Microscale ηViscous Floor
    5.468727e-5 mDISSIPATION CUTOFF
    REYNOLDS NUMBER Re_l:33333.300
    ⚙️ Secondary physics and acoustic field

    Deep derived wave propagation, Reynolds scaling, and isotropic flow characteristics

    Acoustic Convection (FFW)
    +0.00 dB
    Doppler Boost in moving source.
    Regime: COMPACT_QUADRUPOLE
    Acoustic Peak Frequency
    100 Hz
    Strouhal Peak (St_p = 0.20).
    λ_peak = 3.4300 m
    Energy Core Frequency (f_e)
    50 Hz
    Large eddy boundary.
    Taylor scale λ_g: 3.861e-3 m
    Acoustic Near/Far Boundary
    N_F = 0.0000
    ⚠ Non-Rayleigh Near-Field Limit
    Acoustic Impedance (Z₀)
    420.18 kg/m²·s
    Specific fluid density acoustic characteristic (Rayl).
    Acoustic Pressure P_rms
    1.1317e-5 Pa
    Root-mean-square variation based on Overall SPL.
    Acoustic Intensity (I)
    3.0479e-13 W/m²
    Net energy wave transmission rate through area unit.
    Intensity Level (IL)
    -4.95 dB
    Reference unit comparison: I_ref = 10⁻¹² W/m².
    Lumley Anisotropy MapFluid Anisotropy State: ISOTROPIC
    II_b Invariant: 0.000000e+0III_b Invariant: 0.000000e+0k (Flux Coefficient): 3.750000e+1 m²/s²
    • ⚠ NEAR FIELD DETECTED (N_F = 0.0000 ≤ 1.0): Observer at R = 100m is inside the near-field envelope of the 100Hz acoustic core emission. Sound propagation might deviate from spherical geometric decay.
    Runs locally in your browser
    Based on Lighthill’s acoustic analogy
    engineering methodology

    A clear path from inputs to results.

    Estimate the aerodynamic (flow-generated) noise radiated by a patch of turbulence, together with the underlying turbulence scales that drive it. Given a flow speed, turbulence intensity, and eddy length scale, the tool applies Lighthill's acoustic analogy and Proudman's isotropic-turbulence result to predict acoustic power and sound levels, and reports the Kolmogorov and Taylor microscales. It is aimed at acoustics and CFD engineers doing early-stage, order-of-magnitude noise screening.

    Step-by-step methodWorked exampleAssumptions explained

    How to use

    1. Enter the mean flow speed U in m/s and the turbulence intensity as a percentage; the RMS turbulent velocity is u_rms = U x intensity/100.
    2. Enter the integral (eddy) length scale L in metres — the characteristic size of the energy-containing turbulent structures.
    3. Choose the fluid medium (air by default: density 1.225 kg/m^3, sound speed 343 m/s, kinematic viscosity 1.5e-5 m^2/s) and set ambient temperature and relative humidity for the atmospheric-absorption estimate.
    4. Set the observer position: distance R in metres and the angles theta and phi, which drive the convective (Doppler) amplification and the spreading loss.
    5. Read the turbulence diagnostics (TKE, dissipation rate, Kolmogorov and Taylor microscales, Reynolds numbers) and the acoustic outputs (acoustic power W, sound power level LW, peak frequency, and the overall sound pressure level OASPL at the observer).
    6. Use the flow presets (universal, free jet, aerofoil, hypersonic) to load representative speed/intensity/length-scale combinations.

    The formula

    W=α ρ0 u′8c05L2,  α≈38;ε=Cμ3/4k3/2L,  k=32u′2;η=(ν3ε)1/4;fpeak=0.2 ULW=\alpha\,\rho_0\,\frac{u'^{8}}{c_0^{5}}L^{2},\;\alpha\approx38;\qquad \varepsilon=C_\mu^{3/4}\frac{k^{3/2}}{L},\;k=\tfrac32 u'^2;\qquad \eta=\left(\frac{\nu^{3}}{\varepsilon}\right)^{1/4};\qquad f_{peak}=0.2\,\frac{U}{L}

    Reference: Proudman, "The generation of noise by isotropic turbulence," Proc. R. Soc. A 214 (1952); Lighthill, Proc. R. Soc. A 211 (1952); Pope, Turbulent Flows (2000), ch. 6 (Kolmogorov scales); ISO 9613-2:1996 (atmospheric attenuation).

    Worked example

    Low-speed turbulent flow, 10% intensity (universal preset)

    Inputs
    • U = 50 m/s; turbulence intensity 10%; length scale L = 0.1 m; air (rho0 = 1.225 kg/m^3, c0 = 343 m/s, nu = 1.5e-5 m^2/s); observer R = 100 m at theta = 90 deg; 20 C, 70% RH.
    Calculation path
    1. 1

      The RMS turbulent velocity is u_rms = 50 x 0.10 = 5.0 m/s, so the turbulent Mach number is M_turb = 5/343 = 0.0146 and the turbulent kinetic energy is k = 1.5 x 5^2 = 37.5 m^2/s^2. The dissipation rate is epsilon = 0.09^(3/4) x 37.5^(3/2) / 0.1 = 377.3 m^2/s^3, which fixes the Kolmogorov length eta = (nu^3/epsilon)^(1/4) = 5.47e-5 m, time tau_eta = (nu/epsilon)^(1/2) = 1.99e-4 s, and velocity v_eta = (nu x epsilon)^(1/4) = 0.274 m/s, plus a Taylor microscale of 3.86e-3 m and a Taylor-microscale Reynolds number Re_lambda = sqrt((20/3) x 33333) = 471. Proudman's relation gives the radiated acoustic power W = 38 x 1.225 x 5^8 / 343^5 x 0.1^2 = 3.83e-8 W, i.e. a sound power level LW = 10 log10(W/1e-12) = 45.83 dB. The Strouhal peak is f = 0.2 x 50 / 0.1 = 100 Hz. Spreading this power to an observer 100 m away (and referencing 20 uPa) yields an overall sound pressure level OASPL of -4.95 dB.

    Result

    Acoustic power W = 3.83e-8 W (sound power level 45.83 dB), peak near 100 Hz; at 100 m the overall sound pressure level is -4.95 dB (far below the 20 uPa reference, i.e. essentially inaudible at that distance). Kolmogorov length 54.7 micrometres, Re_lambda = 471.

    Interpreting the result

    The headline figure is the acoustic power W and its sound power level LW = 45.83 dB, which depend only on the turbulence and are independent of where you stand. The OASPL instead depends on observer distance: here, 100 m away, the pressure sits below the 20 uPa reference and the level is negative, meaning the sound is effectively inaudible — a direct consequence of the eighth-power velocity scaling, which makes low-speed turbulence an extremely weak noise source. The Kolmogorov microscales tell you the smallest eddies you would need to resolve in a CFD mesh, and Re_lambda characterizes how turbulent the flow is.

    Assumptions & limitations

    • Proudman's formula assumes homogeneous, isotropic turbulence and quadrupole (free-space) radiation; real jets, aerofoils, and wall-bounded flows have strong anisotropy and surface (dipole) sources that this model does not capture.
    • The acoustic-power constant alpha is taken as the isotropic value near 38; published estimates of the Proudman constant vary by a factor of several, so W and LW are order-of-magnitude screening estimates, not certified predictions.
    • The dissipation rate uses the standard k-epsilon closure epsilon = C_mu^(3/4) k^(3/2)/L with C_mu = 0.09, which is a modelling choice rather than a measured quantity.
    • The turbulence is assumed fully developed and high-Reynolds-number so the Kolmogorov cascade and the isotropic relations (for example Re_lambda^2 = (20/3)Re_L) apply; they lose meaning at low Reynolds number.
    • The eighth-power velocity law makes the result extremely sensitive to u_rms: a 10% error in turbulent velocity shifts acoustic power by about 80%, so input accuracy dominates output accuracy.
    • Atmospheric attenuation follows ISO 9613-2 for the entered temperature and humidity and applies to outdoor air paths only; near-field, reflecting, or enclosed environments are not modeled.

    Frequently asked questions

    Why does the sound level come out negative?

    Sound pressure level is referenced to 20 micropascals (the threshold of human hearing). When the predicted pressure at the observer is smaller than that reference, the decibel value is negative — it simply means the sound is below the audibility threshold at that distance. In the worked example a weak 50 m/s turbulent patch heard from 100 m produces about -5 dB, i.e. effectively silent. The observer-independent sound power level (45.83 dB) is the more meaningful figure for comparing sources.

    What are the Kolmogorov microscales the tool reports?

    They are the smallest length, time, and velocity scales in turbulence, where viscosity dissipates kinetic energy into heat: eta = (nu^3/epsilon)^(1/4), tau_eta = (nu/epsilon)^(1/2), and v_eta = (nu x epsilon)^(1/4). In the example eta is about 55 micrometres. For a CFD simulation to resolve all turbulent scales (a direct numerical simulation) the mesh must be comparable to eta, which is why DNS of high-Reynolds flows is so expensive.

    What is the peak frequency based on?

    It uses a Strouhal relation f = St x U/L with St = 0.2, a value characteristic of many bluff-body and shear-layer flows. With U = 50 m/s and L = 0.1 m this gives 100 Hz. The real spectrum is broadband and the single peak frequency is only an indicative center of the energy-containing range, not a pure tone.

    What is the eighth-power law and why does it matter so much?

    Lighthill showed that free turbulence radiates as a quadrupole with acoustic power scaling as the eighth power of velocity (W proportional to u^8). This is the single most important fact in jet aeroacoustics: doubling the turbulent velocity multiplies the radiated power by 2^8 = 256, about 24 dB. It is also why the result is so sensitive to the turbulence intensity you enter, and why high-speed jets are so much louder than low-speed flows.

    Is this a substitute for a real CFD aeroacoustics simulation?

    No. It is a first-order screening tool based on isotropic-turbulence theory. It gives a quick order-of-magnitude estimate of acoustic power and the governing turbulence scales from a handful of inputs. Detailed noise prediction needs a scale-resolving CFD run (LES/DES) coupled with an acoustic analogy such as Ffowcs Williams-Hawkings, which accounts for geometry, surface sources, and directivity that this model only approximates.

    How do temperature and humidity affect the result?

    They enter the atmospheric-absorption calculation (ISO 9613-2), which adds frequency-dependent loss along the air path to the observer. Higher frequencies and certain temperature/humidity combinations absorb more strongly over distance. They do not change the source acoustic power itself, only how much of it survives the propagation to the listener.

    Methodology last reviewed 2026-10-06. Results are informational and not financial or engineering advice — see our disclaimer.