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Prediction of vehicle front wall sound insulation performance using Wasserstein generative adversarial network and Res-InceptionNet

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Volume 240, Issue 7, Page 4131-4148, June 2026.
The acoustic package of the front wall system plays a critical role in automotive design, directly affecting in-vehicle noise quality and passenger comfort. However, accurately modeling its acoustic performance remains a significant challenge due to the ...