Identification of dynamic characteristics of linear systems.
Date of Award
Civil and Environmental Engineering
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Structures, built in active earthquake zones, can be subjected to damaging dynamic loading. The health monitoring process for these structures is essential. When a structure is submitted to repetitive moderate earthquake events, it is expected to accumulate certain damage. The variation of the dynamic characteristics can be an indicator of the damage extension in a structure. The procedure of evaluating the dynamic characteristics of a structure is referred to as system identification. This investigation focuses on the analysis of different techniques for identifying linear structures with available recorded responses during earthquake events. These approaches are: (i) Fourier transform approach; (ii) Discrete-time filter method with Least Squares solver; and (iii) Discrete-time filter method with Instrumental Variables solver. A critical assessment of these methods is presented. The analysis of these methods was conducted considering four examples: (i) water tower subjected to blast loading; (ii) cantilever steel beam subjected to earthquake (1995 Kobe, Japan); (iii) ten-story residential reinforced-concrete building; and (iv) six-story commercial steel building. The dynamic responses of the first two examples are obtained numerically and therefore they are free of noise. For the real building examples the acceleration response recoded during the 1994 Northridge earthquake is used to identify the dynamic characteristics. The vibration data of the two buildings are obtained from the California Strong Motion Instrumentation Program (CSMIP).Dept. of Civil and Environmental Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2003 .R345. Source: Masters Abstracts International, Volume: 42-03, page: 1001. Adviser: Faouzi Ghrib. Thesis (M.A.Sc.)--University of Windsor (Canada), 2003.
Rahman, Md. Mizanur., "Identification of dynamic characteristics of linear systems." (2003). Electronic Theses and Dissertations. 2363.