Prediction of Spectral Response for Explosion Separation Based on DeepONet

Prediction of Spectral Response for Explosion Separation Based on DeepONet

Strong shock waves generated during the pyrotechnic separation process of aerospace vehicles can cause high-frequency damage or even structural failure to the vehicle’s structure. Existing structural designs for shock attenuation typically rely on shock response spectra methods, which require multip...

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Bibliographic Details
Main Authors: Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Aerospace
Subjects:
explosive separation
DeepONet
frequency domain machine learning
neural network analysis
Online Access:https://www.mdpi.com/2226-4310/12/4/310
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