Damage detection of cable-stayed bridges using frequency domain analysis and clustering

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Darvishan Ehsan

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Journal Paper

Paper Information

Journal: AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR) Year:2020 | Volume:51 | Issue:4 Page(s): 767-780

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Information Journal Paper

Title

Damage detection of cable-stayed bridges using frequency domain analysis and clustering

Author(s)

Darvishan Ehsan | Issue Writer Certificate

Keywords

damage detectionQ1

Structural health monitoringQ1

signal processingQ2

clusteringQ1

competitive neural networkQ1

Abstract

Cable-stayed bridges are vital structures which need significant maintenance and repair costs every year. Therefore, health monitoring of such structures can mitigate human and financial losses. In this paper, a damage detection method for cable-stayed bridges is proposed using signal processing and clustering. Since the accuracy of signal processing can considerably affect the accuracy of damage detection results, in the first part of the paper, a comparison is carried out between the popular FDD method and two newer AFDD and TDD methods which have improved some of the FDD drawbacks. Then, the most effective method is selected. Among these procedures, FDD is successfully implemented in signal-based procedures. However, the two newer ones have not adequately investigated in comparison to FDD. In the second part, by using competitive neural network for clustering, a new damage index is introduced by calculation of the Euclidian distances of cluster centers. Results show that the proposed damage detection algorithm can differentiate healthy and damage states with acceptable accuracy.

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APA: Copy

Darvishan, Ehsan. (2020). Damage detection of cable-stayed bridges using frequency domain analysis and clustering. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), 51(4 ), 767-780. SID. https://sid.ir/paper/165665/en

Vancouver: Copy

Darvishan Ehsan. Damage detection of cable-stayed bridges using frequency domain analysis and clustering. AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR)[Internet]. 2020;51(4 ):767-780. Available from: https://sid.ir/paper/165665/en

IEEE: Copy

Ehsan Darvishan, “Damage detection of cable-stayed bridges using frequency domain analysis and clustering,” AMIRKABIR JOURNAL OF CIVIL ENGINEERING (AMIRKABIR), vol. 51, no. 4 , pp. 767–780, 2020, [Online]. Available: https://sid.ir/paper/165665/en

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