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Probability Distribution of Decay Rate: a statistical time-domain damping parameter for structural damage identification

Ay, Ali M, Khoo, Suiyang and Wang, Ying (2018) Probability Distribution of Decay Rate: a statistical time-domain damping parameter for structural damage identification Structural Health Monitoring.

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Abstract

This paper proposes a novel vibration-based damage identification method, named the probability distribution of decay-rate (PDDR). By introducing a statistical framework, the PDDR method estimates damage-induced changes in overall damping behaviour of a free-vibration dynamic system. Utilising free-vibration impulse-response (IR) data, a one-dimensional dataset of local maxima-minima points is constructed. A statistical analysis of this dataset is then performed to derive damage-sensitive parameters. It is demonstrated that through the use of a statistical analysis framework, a number of enhancements are attained in terms of both robustness and leniency in estimating the significantly nonlinear property of overall damping. An impact hammer test is conducted in the laboratory to verify the efficacy of the proposed PDDR method. The test was performed on a scale-model steel Warren truss bridge structure, subjected to bolt-connection failures. The comparison results between the PDDR method and the standard experimental modal analysis (EMA) method confirm that the former is effective for damage identification of complex structures, particularly with real experimental data and steel-frame structure assemblies.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Ay, Ali M
Khoo, Suiyang
Wang, Yingying.wang@surrey.ac.uk
Date : 2018
Funders : EPSRC
Copyright Disclaimer : Copyright 2018 SAGE Publications
Uncontrolled Keywords : PDDR; probability distribution; variance; impact hammer; damping; decay-rate; structural damage; Statistical analysis; Warren-truss
Depositing User : Melanie Hughes
Date Deposited : 29 Nov 2018 09:47
Last Modified : 11 Dec 2018 11:24
URI: http://epubs.surrey.ac.uk/id/eprint/849950

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