Damage Identification of a Concrete Arch Beam Based on Frequency Response Functions and Artificial Neural Networks

Damage Identification of a Concrete Arch Beam Based on Frequency Response Functions and Artificial Neural Networks

This paper presents a vibration-based structural health monitoring (SHM) technique for the identification of damage in a concrete arch beam replica section of the Sydney Harbour Bridge. The proposed technique uses residual frequency response functions (FRFs) combined with principal component analys...

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Bibliographic Details
Main Authors: V.V. Nguyen, U. Dackermann, J. Li, M. Makki Alamdari, S. Mustapha, P. Runcie, L. Ye
Format: Article
Language:English
Published: Electronic Journals for Science and Engineering - International 2015-01-01
Series:Electronic Journal of Structural Engineering
Subjects:
Structural health monitoring
Damage detection
Sydney Harbour Bridge
Frequency response functions
Artificial neural network
Non-destructive testing
Online Access:https://ejsei.com/EJSE/article/view/192

Internet

https://ejsei.com/EJSE/article/view/192

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