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http://dx.doi.org/10.12989/eas.2018.15.4.443

Novel optimal intensity measures for probabilistic seismic analysis of RC high-rise buildings with core  

Pejovic, Jelena R. (The Faculty of Civil Engineering, University of Montenegro)
Serdar, Nina N. (The Faculty of Civil Engineering, University of Montenegro)
Pejovic, Radenko R. (The Faculty of Civil Engineering, University of Montenegro)
Publication Information
Earthquakes and Structures / v.15, no.4, 2018 , pp. 443-452 More about this Journal
Abstract
In this paper the new intensity measures (IMs) for probabilistic seismic analysis of RC high-rise buildings with core wall structural system are proposed. The existing IMs are analysed and the new optimal ones are presented. The newly proposed IMs are based on the existing ones which: 1) comprise a wider range of frequency velocity spectrum content and 2) are defined as the integral along the velocity spectrum. In analysis characteristics of optimal IMs such as: efficiency, practicality, proficiency and sufficiency are considered. As prototype buildings, RC high-rise buildings with core wall structural system and with characteristic heights: 20-storey, 30-storey and 40-storey, are selected. The non-linear 3D models of the prototype buildings are constructed. 720 non-linear time-history analyses are conducted for 60 ground motion records with a wide range of magnitudes, distances to source and various soil types. Statistical processing of results and detailed regression analysis are performed and appropriate demand models which relate IMs to demand measures (DMs), are obtained. The conducted analysis has shown that the newly proposed IMs can efficiently predict the DMs with minimum dispersion and satisfactory practicality as compared to the other commonly used IMs (e.g., PGA and $S_a(T_1)$). The newly proposed IMs overcome difficulties in calculating of integral along the velocity spectrum and present adequate replacement for IMs which comprise a wider range of frequency velocity spectrum content.
Keywords
RC high-rise building; intensity measure; demand measure; optimality; non-linear time-history analysis; velocity spectrum; regression analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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