Characterization and Simulation of Acoustic Properties of Sugarcane Bagasse-Based Composite Using Artificial Neural Network Model

Environmental sustainability and environmental protection represent essential challenges for the well-being of community. The use eco-sustainable materials in architecture is necessary transformation urban centers into modern sustainable cities, to reduce air pollution protect natural ecosystems, decrease greenhouse gas emissions improve energy efficiency buildings. In this study, sugar cane processing waste was used as an alternative ecological acoustic material, combining it with binders construction, such plaster clay. To make composite, fibers were separated from bark, then assembled binder frames, finally frame composite subjected a drying process. Specimens various thicknesses prepared sound absorption coefficient (SAC) at normal incidence calculated. Subsequently, compare performances samples, simulation model prediction SAC based on artificial neural network (ANN) created. results suggest adoption review properties material.