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Wall Sound Transmission Loss Calculator

Estimate how much a wall reduces sound at a given frequency using the mass law.

Inputs

Results

Transmission loss (mass law)33dB

Chart

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How to use the wall sound transmission loss calculator

Estimate how much a wall reduces sound at a given frequency using the mass law. Enter surface mass, frequency in the fields above; the transmission loss (mass law) is computed instantly and plotted on the chart so you can see how the answer changes.

Common searches this calculator answers include “sound insulation of wall”, “soundproofing wall dB”, “mass law transmission loss”, “calculate wall sound transmission loss”, “find transmission loss”.

Formula

Transmission loss (mass law) (dB) = 20 × log10(m × f)-47

Variables

  • m — Surface mass (kg/m²)
  • f — Frequency (Hz)

Worked example

With surface mass = 20 kg/m², frequency = 500 Hz, the calculator gives transmission loss (mass law) ≈ 33 dB.

Frequently asked questions

What is the wall sound transmission loss calculator used for?

Estimate how much a wall reduces sound at a given frequency using the mass law. It helps with questions such as “sound insulation of wall”, “soundproofing wall dB”, “mass law transmission loss”.

What is the formula for the wall sound transmission loss calculation?

Transmission loss (mass law) (dB) = 20 × log10(m × f)-47. Here m is surface mass (kg/m²), f is frequency (Hz).

What inputs do I need for the wall sound transmission loss calculator?

You need surface mass in kg/m², frequency in Hz. Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.

How do I use the wall sound transmission loss calculator?

Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.

Is the wall sound transmission loss result exact?

Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.

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