Advanced deep learning model-based impact characterization method for composite laminates

Volume: 207, Pages: 108713 - 108713
Published: May 1, 2021
Abstract
The aim of this study was to develop a structural health monitoring system for smart composite structures through the use of signal processing, deep learning algorithms, and optimization theory. Piezoelectric ribbon sensors were implemented in the preparation of smart composite structures to create a smart composite fabric that can be embedded in composite laminates to enable self-monitoring. A discrete wavelet transform was applied to the...
Paper Details
Title
Advanced deep learning model-based impact characterization method for composite laminates
Published Date
May 1, 2021
Volume
207
Pages
108713 - 108713
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