Toolbox for design and prediction of multilayered acoustic treatments. Also contains a material model based on the GRAS database.
This repository is a fork from from rinaldipp/tmm.
Its purpose is to rename the tmm package to tmma,
making it possible to upload it to the https://pypi.org while
following the original repository as closely as possible.
The name tmm cannot be used on https://pypi.org
because a package with that name already exists.
pip install tmma
from tmma.tmm import TMM
# Define the frequency range, resolution and sound incidence
treatment = TMM(fmin=20, fmax=5000, df=1, incidence="diffuse", incidence_angle=[0, 78, 1],
filename="example_perforated_resonator")
# Define the layers - from top to bottom
treatment.perforated_panel_layer(t=19, d=8, s=24, method="barrier")
treatment.porous_layer(model="mac", t=50, sigma=27)
treatment.air_layer(t=50)
# Compute, plot and export data
treatment.compute(rigid_backing=True, show_layers=True)
treatment.plot(plots=["alpha"], save_fig=True)
treatment.save2sheet(n_oct=3)
treatment.save()
bands, filtered_alpha = treatment.filter_alpha(view=True, n_oct=3)For more examples see the example files.
[1] R. Petrolli, A. Zorzo and P. D'Antonio, " Comparison of measurement and prediction for acoustical treatments designed with Transfer Matrix Models ", in Euronoise, October 2021.