A convolutional neural network for impact detection and characterization of complex composite structures

This paper reports on a novel metamodel for impact detection, localization and characterization of complex composite structures based on Convolutional Neural Networks (CNN) and passive sensing. Methods to generate appropriate input datasets and network architectures for impact localization and chara...

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Bibliographic Details

Main Authors:	Iuliana Tabian, Hailing Fu, Zahra Sharif Khodaei
Format:	Default Article
Published:	2019
Subjects:	Ecology not elsewhere classified structural health monitoring (SHM) convolutional neural network (CNN) deep-learning passive sensing impact detection impact characterization composite structures Ecology
Online Access:	https://hdl.handle.net/2134/10320101.v1
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