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http://dx.doi.org/10.12989/scs.2019.32.1.091

Evaluation of ground motion scaling methods on drift demands of energy-based plastic designed steel frames under near-fault pulse-type earthquakes  

Ganjavi, Behnoud (Department of Civil Engineering, University of Mazandaran)
Hadinejad, Amirali (Department of Civil Engineering, University of Mazandaran)
Jafarieh, Amir Hossein (Department of Civil Engineering, University of Mazandaran)
Publication Information
Steel and Composite Structures / v.32, no.1, 2019 , pp. 91-110 More about this Journal
Abstract
In the present study, the effects of six different ground motion scaling methods on inelastic response of nonlinear steel moment frames (SMFs) are studied. The frames were designed using energy-based PBPD approach with the design concept using pre-selected target drift and yield mechanism as performance limit state. Two target spectrums are considered: maximum credible earthquake spectrum (MCE) and design response spectrum (DRS). In order to investigate the effects of ground motion scaling methods on the response of the structures, totally 3216 nonlinear models including three frames with 4, 8 and 16 stories are designed using PBPD approach and then they are subjected to ensembles of ground motions including 42 far-fault and 90 near-fault pulse-type records which were scaled using the six different scaling methods in accordance to the two aforementioned target spectrums. The distributions of maximum inter-story drift over the height of the structures are computed and compared. Finally, the efficiency and reliability of each ground motion scaling method to estimate the maximum nonlinear inter-story drift of special steel moment frames designed by energy-based PBPD approach are statistically investigated, and the most suitable scaling methods with the lowest dispersion for two groups of earthquake ground motions are introduced.
Keywords
near-fault earthquakes; pulse period; steel moment frame; scaling methods; performance-based-plastic design; seismic drift demand;
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Times Cited By KSCI : 5  (Citation Analysis)
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