Structural Damage Features Extracted by Convolutional Neural Networks from Mode Shapes

Structural Damage Features Extracted by Convolutional Neural Networks from Mode Shapes

This paper aims to locate damaged rods in a three-dimensional (3D) steel truss and reveals some internal working mechanisms of the convolutional neural network (CNN), which is based on the first-order modal parameters and CNN. The CNN training samples (including a large number of damage scenarios) a...

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Bibliographic Details
Main Authors: Kefeng Zhong, Shuai Teng, Gen Liu, Gongfa Chen, Fangsen Cui
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
structural state detection
convolutional neural networks
mode shapes
mode curvature differences
feature extraction
Online Access:https://www.mdpi.com/2076-3417/10/12/4247

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