Research on noise prediction methods for sound barriers based on the integration of conditional generative adversarial networks and numerical methods

Research on noise prediction methods for sound barriers based on the integration of conditional generative adversarial networks and numerical methods

This study proposes a novel approach utilizing Conditional Generative Adversarial Networks (CGANs) to accelerate wideband acoustic state analysis, addressing the computational challenges in traditional Boundary Element Method (BEM) approaches. Traditional BEM-based acoustic analysis requires repeate...

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Bibliographic Details
Main Authors: Qian Hu, Ziyu Cui, Hongxue Liu, Senhao Zhong
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Physics
Subjects:
boundary element method
CGAN
sound barrier
acoustic scattering
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2025.1539545/full
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