Numerical and experimental study of damage identification using modal participation ratio: detection, localization and quantification of several damage scenarios
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Abstract (EN)
This thesis aims to numerically and experimentally evaluate the effectiveness of the Modal Participation Ratio method in damage identification. The numerical study of damage identification was carried out on a reinforced concrete building model. Also, numerical and experimental studies of damage identification were performed on a steel frame model under the effect of several damage scenarios. Damage detection, localization and quantification performance of the presented method was examined. The thesis consists of five chapters. In the first chapter, the importance of damage assessment is emphasized, and the historical and technological development of damage assessment methods is given. In addition, formulas to be used in the thesis and Modal Participation Ratio calculation steps are presented. In the second chapter, case studies, results and discussions are given. In the first part, the structural changes of the numerical reinforced concrete building model due to single story damage scenarios and cumulative damage scenarios with varying damage severity levels were examined, and correlations to be used in damage identification were derived. In the second part, the effect of single story damage scenarios with different severity levels on the Modal Participation Ratio of the steel frame model is investigated to test the experimental and numerical performance of the method. In the third and fourth chapters, conclusions of the study and suggestions for future studies are presented. In the last section, the references and the resume are given. As a result, it has been deduced that the damage identification method presented in this thesis is effective in experimental and numerical studies and can be utilized in structural health monitoring.
Author
Zafer Yılmaz
How to Cite
Zafer Yılmaz (Master Thesis). Numerical and experimental study of damage identification using modal participation ratio: detection, localization and quantification of several damage scenarios, 2022, Karadeniz Technical University.
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