K-BP neural network-based strain field inversion and load identification for CFRP

Volume: 187, Pages: 110227 - 110227
Published: Jan 1, 2022
Abstract
The strain information and loads conditions of composite wings are important basis for aircraft health evaluation. In this paper, firstly to demonstrate the accuracy of Fiber Bragg Grating (FBG) sensors and provide guidance for the following study, experiment is carried out to study the effect of the adhesive layer thickness on the strain transfer. Then finite element analysis software ABAQUS is applied to analyze the strain distribution, and...
Paper Details
Title
K-BP neural network-based strain field inversion and load identification for CFRP
Published Date
Jan 1, 2022
Volume
187
Pages
110227 - 110227
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