Improving accuracy in parametric reduced-order models for classical guitars through data-driven discrepancy modeling

Improving accuracy in parametric reduced-order models for classical guitars through data-driven discrepancy modeling

Recently developed high-fidelity finite element (FE) models represent a state-of-the-art approach for gaining a deeper understanding of the vibrational behavior of musical instruments. They can also be used as virtual prototypes. However, certain analyses, such as optimization or parameter identific...

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Bibliographic Details
Main Authors: Cillo Pierfrancesco, Brauchler Alexander, Gonzalez Sebastian, Ziegler Pascal, Antonacci Fabio, Sarti Augusto, Eberhard Peter
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:Acta Acustica
Subjects:
guitar
data-driven model
virtual prototype
discrepancy modeling
model order reduction
Online Access:https://acta-acustica.edpsciences.org/articles/aacus/full_html/2024/01/aacus240042/aacus240042.html
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