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The paper focuses also on fuzzy model structure design.
Starting with building description and data collection, followed by the discussion about the suitable model structure design and proper identification methods selection, the paper attains to a flexible two-level control concept.
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In this section the seismic performance of the model structure designed following the strength-based design procedure currently specified in design codes is evaluated.
It also can be noticed that the collapse margin of the model structure designed with friction dampers, model CD_FD, is significantly larger than those of the other model structures.
The analysis results show that the seismic performance of the 4- and 6-story model structure designed with the proposed design procedure agrees very well with the pre-specified design objectives.
The model structures designed with medium level seismic load showed higher strength than the structures designed with low level seismic load.
Model Longitudinal bar Top Bottom SD 3-D19 3-D19 CD_FDD_FD 2-D19 2-D16 CD_imageD16 2-D16 Open inage inewewindowow Fig. 25 Pushover curves of the model structures designed using R = 5.
The collapse probabilities of all model structures designed with the R factor of 3.0 were smaller than 0.1, which confirmed that the seismic design variables used for the model structures were valid.
Compared with the fragility curves of the model structures designed with R = 3 shown in Fig. 23, the collapse probabilities are significantly increased in the structures designed using R = 5.
It is observed in the previous section that both the standard and the retrofitted model structures designed using the response modification (R) factor of 3 satisfy the FEMA P695 requirements.
Tables 4 and 5 show the size and rebars of the selected members in the structure designed using R=5. Figure 25 shows the pushover curves of the model structures designed with reduced seismic load, where it can be observed that the overall strengths of all model structures are significantly reduced as a result of using increased R factor.
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