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https://hdl.handle.net/11499/56068
Title: | Response- and probability-based evaluation of spectrally matched ground motion selection strategies for bi-directional dynamic analysis of low- to mid-rise RC buildings | Authors: | Demir, A. Kayhan, A.H. Palanci, M. |
Keywords: | Bi-directional dynamic analysis Ground motion selection Probabilistic evaluation Seismic response Spectral matching Acceleration Buildings Dispersions Motion analysis Bi-directional Bi-directional dynamic analyse Directional dynamics Dynamics analysis Ground motion selections Performance assessment Probabilistic evaluation Soil class Spectral acceleration Spectral matchings Seismic response |
Publisher: | Elsevier Ltd | Abstract: | In this study, the effect of different strategies which consider various levels of constraints for spectrally matched ground motion (GM) selection on seismic responses of the buildings was evaluated. For this, six different three-dimensional buildings and three different local soil classes were considered. Various GM record sets were used for each strategy and local soil class pair to perform bi-directional nonlinear dynamic analyses of the buildings and maximum global and maximum inter-story drift ratio demands were obtained. To evaluate the efficiency of proposed strategies, the mean and dispersion of the demands were investigated. Then, the differences among the means of the seismic demands obtained for the strategies were evaluated using the analysis of variance method. Moreover, probability curves of the demands were constructed and compared. The results indicate that i) the mean of the demands generally used for code-based performance assessment can be estimated more consistently by the proposed strategies; ii) the supplemental constraints about spectral matching allow to control the dispersion of the spectral acceleration values of selected GMs and hence the dispersion of the demands; iii) using the appropriate one of the proposed strategies, GMs with desired dispersion of spectral accelerations can be acquired for probability-based performance assessment. © 2023 Institution of Structural Engineers | URI: | http://dx.doi.org/10.1016/j.istruc.2023.105533 https://hdl.handle.net/11499/56068 |
ISSN: | 2352-0124 |
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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