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Sensitivity Analysis of Reinforced Concrete Frame Structures Under Near-Fault Pulse-Like Ground Motions Using a Broadband Simulation Method.

Authors :
Yang, Fujian
Wang, Guoxin
Ding, Yang
Source :
Journal of Earthquake Engineering. Dec2020, Vol. 24 Issue 12, p2046-2071. 26p.
Publication Year :
2020

Abstract

The effect of pulse characteristic of near-fault ground motions on multistory reinforced concrete frame structures is investigated by means of a synthetic broadband ground motion model (SBGM). A simplified analytical pulse model is used to describe the low-frequency components of ground motions, while a stochastic simulation method based on wavelet packet is adopted to simulate the high-frequency components of ground motions. First, the time histories, response spectrum, and structural response of synthetic ground motions are compared with those corresponding to recorded near-fault ground motions. The good agreement indicates that the SBGM model used in this article is a suitable and efficient tool for evaluating the structural response. Sensitivity analysis on structural response of 2-, 4-, 8-, and 12-story building models to the SBGM model input parameters is then performed to identify the key ground-motion parameters which control the main structural response indicators, that is, interstory drift ratio and maximum interstory drift ratio. Final results indicate that the amplitude of velocity pulse in the SBGM model has a significant influence on structural drift demands. Nevertheless, for low-rise buildings, the maximum drift demands would effectively decrease with increasing proportion of high-frequency components. Moreover, the ratio of pulse period to structural fundamental period and number of oscillations impose a large drift demands to the structure under near-fault pulse-like ground motions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13632469
Volume :
24
Issue :
12
Database :
Academic Search Index
Journal :
Journal of Earthquake Engineering
Publication Type :
Academic Journal
Accession number :
146806916
Full Text :
https://doi.org/10.1080/13632469.2018.1495134