Correlation between seismic intensity measures and engineering demand parameters of reinforced concrete frame buildings through nonlinear time history analysis
Cita com:
hdl:2117/395111
Document typeArticle
Defense date2023-11
PublisherElsevier
Rights accessOpen Access
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is licensed under a Creative Commons license
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Attribution-NonCommercial-NoDerivs 4.0 International
Abstract
In this paper, the correlation between different seismic intensity measures (IM) and engineering demand parameters
(EDP) of reinforced concrete (RC) buildings was evaluated by means of nonlinear dynamic analyses
(NLDA). The Costa Rican ground motion database and four RC buildings (4-, 6-, 8- and 10-stories) were
considered in this research. Estimations of conventional IMs were derived directly from the ground motion records
as well as from the response of a single degree of freedom (SDOF) linear oscillator, with a period equal to
that of the fundamental period of the buildings. NLDAs were performed using unscaled and scaled records to
account for different intensity levels, and the performance of the buildings was characterized in terms of three
EDPs: the average inter-story drift ratio, the maximum inter-story drift ratio, and the Park & Ang damage index.
Results demonstrate a significant improvement in the correlation between IMs and EDPs when the dynamic
characteristics of the structure are accounted for through the response of the SDOF oscillator. On the other hand,
the peak ground velocity turned out to be an effective IM, independent of the dynamic characteristics of the
buildings. This is very useful when assessing potential seismic damage both for immediate decision-making and
for the characterization of the seismic hazard of a region.
CitationPinzón, L. [et al.]. Correlation between seismic intensity measures and engineering demand parameters of reinforced concrete frame buildings through nonlinear time history analysis. "Structures", Novembre 2023, vol. 57, article 105276.
ISSN2352-0124
Publisher versionhttps://www.sciencedirect.com/science/article/pii/S2352012423013644
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