Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data

Nguyen, Andy and Kodikara, K. A. Tharindu Lakshitha and Chan, Tommy H. T. and Thambiratnam, David P. (2018) Deterioration assessment of buildings using an improved hybrid model updating approach and long-term health monitoring data. Structural Health Monitoring. ISSN 1475-9217

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Abstract

In recent years, it has become increasingly important to develop methodologies for reliable deterioration assessment of civil structures over their life-cycle to facilitate maintenance and/or rehabilitation planning processes. Several approaches have been established to address this issue mainly using Bayesian probabilistic model updating techniques with some capability to incorporate uncertainties in the updating process. However, Bayesian model updating techniques are often found to be complex and computationally inefficient as opposed to their deterministic counterparts such as conventional or hybrid techniques of sensitivity based model updating. Nevertheless, the deterministic model updating techniques have not been well developed for sophisticated assessment applications such as deterioration evaluation. To address these issues, this paper presents a novel methodology for deterioration assessment of building structures under serviceability loading conditions, based upon an improved hybrid model updating approach incorporating the use of long-term monitoring data. This is first realised by a simple but effective scheme to simulate the deterioration mechanism in serviceability loading conditions before enhanced with innovative solutions to classify structural elements as well as to handle measurement and updating uncertainties in a meaningful way. The effectiveness of the established methodology is illustrated through a benchmark ten story reinforced concrete building which is equipped with a long-term structural health monitoring system.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published online: 19 September 2018. Accepted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Advanced Engineering and Space Sciences - Centre for Future Materials
Date Deposited: 19 Dec 2018 05:36
Last Modified: 01 Jul 2019 02:57
Uncontrolled Keywords: deterioration assessment, model updating, building structures, serviceability loading condition, structural health monitoring data
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090506 Structural Engineering
Identification Number or DOI: 10.1177/1475921718799984
URI: http://eprints.usq.edu.au/id/eprint/35107

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