%0 Journal Article 
%A Puyana Romero, Virginia
%A Iannace, Gino
%A Cajas-Camacho, Lilian Gisselle
%A Garzón-Pico, Christiam
%A Ciaburro, Giuseppe
%T Acoustic Characterization and Modeling of Silicone-Bonded Cocoa Crop Waste Using a Model Based on the Gaussian Support Vector Machine
%D 2022
%@ 2079-6439
%U http://hdl.handle.net/10498/26745
%X The sustainable management of waste from agricultural crops represents an urgent challenge.
One possible solution considers waste as possible secondary raw materials for specific uses.
Among these, the use of agricultural waste as a product for the assembly of panels for the sound absorption
of living environments represents a particularly suitable solution. In this study, the acoustic
properties of the cocoa pod husk were evaluated, using silicone as a binder. Different proportions of
materials and thicknesses were evaluated. A Support Vector Machine (SVM)-based model with a
Gaussian kernel was then used to predict the acoustic performance of composite materials. The results
obtained suggest the adoption of this material for the acoustic correction of living environments and
this methodology for the prediction of the acoustic behavior of materials.
%K natural materials
%K sound absorption coefficient
%K acoustic measurements
%K Support Vector Machine (SVM)
%K Gaussian kernel
%~ Universidad de Cádiz