Structural Deterioration Localization Using Enhanced Autoregressive Time-Series Analysis
Description
Irrespective to how well structures were built, they all deteriorate. Herein, deterioration is defined as a slow and continuous reduction of structural performance, which if prolonged can lead to damage. Deterioration occurs due to different factors such as ageing, environmental and operational (E&O) variations including those due to service loads. Structural performance can be defined as load-carrying capacity, deformation capacity, service life and so on. This paper aims to develop an effective method to detect and locate deterioration in the presence of E&O variations and high measurement noise content. For this reason, a novel vibration-based deterioration assessment method is developed. Since deterioration alters the unique vibration characteristics of a structure, it can be identified by tracking the changes in the vibration characteristics. This study uses enhanced autoregressive (AR) time-series models to fit the vibration response data of a structure. Then, the statistical hypotheses of chi-square variance test and two-sample t-test are applied to the model residuals. To precisely evaluate changes in the vibration characteristics, an integrated deterioration identification (DI) is defined using the calculated statistical hypotheses and a Hampel filter is used to detect and remove false positive and negative results. Model residual is the difference between the predicted signal from the time series model and the actual measured response data at each time interval. The response data of two numerically simulated case studies of 3-storey and 20-storey reinforced concrete (RC) shear frames contaminated with different noise contents demonstrate the efficacy of the proposed method. Multiple deterioration and damage locations, as well as preventive maintenance actions, are also considered in these case studies. Furthermore, the method was successfully verified utilizing measured data from an experiment carried out on a box-girder bridge (BGB) structure.
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| ID Code: | 206198 | ||||||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||||||
| Refereed: | Yes | ||||||||
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| Additional Information: | Funding Information: The first author gratefully appreciates the financial support for his research from the Queensland University of Technology (QUT) and School of Civil Engineering and Built Environment. Experimental data used in the third case study is from the load-carrying capacity test done by Shojaeddin Jamali as part of his PhD. The research herein is part of Discovery Project DP160101764 funded by the Australian Government through the Australian Research Council (ARC). | ||||||||
| Measurements or Duration: | 27 pages | ||||||||
| Additional URLs: | |||||||||
| Keywords: | AR residual, Deterioration identification, SHM, vibration-based, statistical hypothesis | ||||||||
| DOI: | 10.1142/S0219455420420134 | ||||||||
| ISSN: | 0219-4554 | ||||||||
| Pure ID: | 72352413 | ||||||||
| Divisions: | Current > Research Centres > Centre for Data Science Current > Research Centres > Centre for Materials Science Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Civil & Environmental Engineering |
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| Funding Information: | The ¯rst author gratefully appreciates the ¯nancial support for his research from the Queensland University of Technology (QUT) and School of Civil Engineering and Built Environment. Experimental data used in the third case study is from the load-carrying capacity test done by Shojaeddin Jamali as part of his PhD. The research herein is part of Discovery Project DP160101764 funded by the Australian Government through the Australian Research Council (ARC). | ||||||||
| Copyright Owner: | 2020 World Scientific Publishing Company | ||||||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||||||
| Deposited On: | 12 Nov 2020 01:07 | ||||||||
| Last Modified: | 28 Mar 2024 18:31 |
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