Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/10665
Title: Nonlinear static and dynamic analyses of RC buildings
Authors: İnel, Mehmet
Cayci, B.T.
Meral, E.
Keywords: Building damage
Earthquake
Existing buildings
Nonlinear static procedure
Nonlinear time history analysis
Pushover analysis
Reinforced concrete buildings
Publisher: Springer International Publishing
Abstract: This study aims to compare pushover and nonlinear time history analyses for existing low- and mid-rise RC buildings to better understand the applicability limits, advantages and disadvantages of nonlinear static and dynamic analyses. The 4- and 7-story buildings designed according to the pre-modern and modern Turkish Earthquake Codes represent the existing low- and mid-rise RC buildings based on inventory results of more than 475 real residential buildings located in Turkey. Eight different ground motion records were used during nonlinear time history analyses selected from destructive earthquakes over past several decades. The outcomes show that the displacement demands obtained from time history analyses differ over a wide range of values, emphasizing the importance of ground motion record selection. The pushover analysis may cause underestimation of the maximum interstory drift ratio for the mid-rise buildings. Besides, it definitely misses the beam damages at the first story. In conclusion, the pushover analysis seems to reflect the nonlinear time history analysis confidently at moderate level earthquakes. However, the results start to deviate as the ground motions get stronger. It is hard to specify a single value for the safe use of pushover analysis considering all parameters in the study. The outcomes of the current study indicate that the pushover analysis provides reasonably well estimates up to 1 and 0.75% roof drift ratios which approximately correspond to 1.5 and 1% interstory drift ratios for low- and mid-rise buildings, respectively. Beyond these limits, the pushover analysis may give misleading demand estimates. © 2018, Iran University of Science and Technology.
URI: https://hdl.handle.net/11499/10665
https://doi.org/10.1007/s40999-018-0285-0
ISSN: 1735-0522
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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