Deterioration sensitive feature using enhanced AR Model residuals

Monavari, Benyamin and Chan, Tommy H. T. and Nguyen, Andy and Thambiratnam, David P. (2017) Deterioration sensitive feature using enhanced AR Model residuals. In: 4th Conference on Smart Monitoring, Assessment and Rehabilitation of Civil Structures (SMAR 2017), 13–15 Sept 2017, Zurich, Switzerland.

Abstract

An extensive number of already built buildings are deteriorating due to environmental effects, varying service loads, and aging. Hence, it is extremely crucial to accurately and continuously track the deterioration condition of these structures by employing some structural health monitoring (SHM) based assessment procedures. In this regard, vibration-based methods are amongst the most effective ones as they can be used in ambient vibration and operational loading conditions. Each building has unique vibration characteristics that will change due to accumulated deterioration and damage. However, the changes due to deterioration are generally subtler than changes due to damage, and consequently more difficult to detect. Therefore, deterioration detection procedures need to be more accurate and sensitive to these changes. This paper presents an autoregressive (AR) time-series residual-based deterioration assessment method which uses SHM data to capture changes in dynamic characteristics of building structures. A novel AR model order estimation procedure was proposed in order to enhance the sensitivity of the method. The result shows that the proposed methodology can clearly detect deterioration.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Date Deposited: 05 Jul 2019 03:09
Last Modified: 03 Jan 2020 04:37
Uncontrolled Keywords: structural deterioration; structural health monitoring
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
URI: http://eprints.usq.edu.au/id/eprint/36691

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