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Detection of Stiffness and Mass Changes Separately Using Output-only Vibration Data Open Access


Other title
Structural Health Monitoring
Damage Detection
Type of item
Degree grantor
University of Alberta
Author or creator
Do, Ngoan Tien
Supervisor and department
Mustafa Gul (Civil and Environmental Engineering)
Examining committee member and department
Dr. Mustafa Gul (Civil and Environmental Engineering)
Dr. Samer Adeeb (Civil and Environmental Engineering)
Dr. J.J. Roger Cheng (Civil and Environmental Engineering)
Department of Civil and Environmental Engineering
Structural Engineering
Date accepted
Graduation date
Master of Science
Degree level
Structural Health Monitoring (SHM) is a rapidly developing field, which is expected to play an important role in management of infrastructure systems by providing critical information about the structural changes or damage in the structure under monitoring. Among the different components of SHM, data analysis methods and damage detection algorithms are widely considered among the most critical components. For real life applications, the effects of operational and environmental factors on the damage detection process should be appropriately considered since these effects can mask structural damage. In this study, a new vibration based damage detection method for detection of changes in stiffness (e.g. due to damage) and mass (e.g. due to operational effects) is introduced. For this purpose, an improved method using the Autoregressive Moving Average model with eXogenous inputs (ARMAX) in conjunction with a sensor clustering technique is developed. In order to separate the changes in stiffness and mass, two different damage features (DFs) are developed based on the relative difference of ARMAX coefficients: Mass DFs (MDFs), which aim to eliminate operational effects, and Stiffness DFs (SDFs), which detect structural damage. Numerical and experimental case studies are employed for verification of the methodology. First, a numerical study of a 4-DOF spring mass system and the IASC-ASCE (International Association of Structural Control; American Society of Civil Engineers) numerical benchmark problem are presented. Then, a small-scale four-storey steel structure is developed and tested in the laboratory to study the proposed approach with experimental data. Similar to the results of the numerical studies, the methodology is successful in not just determining the location and severity of the damage, but also distinguishing exactly changes in mass and stiffness in the experimental structure. The limitations of the methodology in its current form and recommendations for future work are also discussed at the end of the thesis.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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