Pushover analysis involves certain approximations and simplifications that some
amount of variation is always expected to exist in seismic demand prediction of pushover
analysis. In literature, some improved pushover procedures have been proposed to
overcome the certain limitations of traditional pushover procedures.
The effects and the accuracy of invariant lateral load patterns utilised in pushover
analysis to predict the behavior imposed on the structure due to randomly selected
individual ground motions causing elastic and various levels of nonlinear response were
evaluated in this study. For this purpose, pushover analyses using various invariant lateral
load patterns and Modal Pushover Analysis were performed on reinforced concrete and
steel moment resisting frames covering a broad range of fundamental periods. Certain
response parameters predicted by each pushover procedure were compared with the ' / exact' / results obtained from nonlinear dynamic analysis. The primary observations from the
study showed that the accuracy of the pushover results depends strongly on the load path,
properties of the structure and the characteristics of the ground motion.
Pushover analyses were performed by both DRAIN-2DX and SAP2000. Similar
pushover results were obtained from the two different softwares employed in the study provided that similar approach is used in modeling the nonlinear properties of members as
well as their structural features.
The accuracy of approximate procedures utilised to estimate target displacement
was also studied on frame structures. The accuracy of the predictions was observed to
depend on the approximations involved in the theory of the procedures, structural
properties and ground motion characteristics.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12606047/index.pdf |
| Date | 01 May 2005 |
| Creators | Oguz, Sermin |
| Contributors | Yakut, Ahmet |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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