Data-driven approach for prediction of band diagram of locally resonant sonic crystal
R Karthik,
Sreeram Barathula,
K Srinivasan
Abstract:The present study focuses on the prediction of the band diagram of Locally Resonance Sonic Crystal (LRSC) using machine learning models from structural, lattice material parameters. The data set for the study is generated from the numerical simulations of LRSC for wide ranges of structural, lattice material parameters using COMSOL multiphysics solver. Three machine learning algorithms namely, Support Vector Machine (SVM), Artificial Neural Network (ANN), and Random Forest Regression (RFR), are employed for the… Show more
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