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Investigation of the relationship between intensity measures and engineering demand parameters of cable-stayed bridges using intra-plate earthquakes.

Authors :
He, Jin-Hai
Pang, Yu-Tao
Dang, Xinzhi
Yuan, Wan-Cheng
Source :
Engineering Computations; 2021, Vol. 38 Issue 4, p1920-1932, 13p
Publication Year :
2021

Abstract

Purpose: The purpose of the study is to investigate and reveal this relationship of various engineering demand parameters (EDPs) of this structural type and intensity measures (IMs) under intra-plate earthquakes. Design/methodology/approach: The nonlinear finite element model used was calibrated first to the existing results of the shaking table test to verify the modeling technique. Findings: This paper investigated the relationship between intensity measures and various engineering demand parameters of cable-stayed bridges using intra-plate earthquakes. The correlation analysis and Pearson coefficient are used to study the correlation between EDPs and IMs. The results showed that peak ground velocity (PGV)/peak ground acceleration, peak ground displacement and root-mean-square of displacement showed weak correlation with IMs. PGV, sustained maximum velocity, a peak value of spectral velocity, A95 parameter, Housner intensity and spectral acceleration at the fundamental period, the spectral velocity at the fundamental period and spectral displacement at the fundamental period were determined to be better predictors for various EDPs. Originality/value: This paper investigated the correlation between the intensity measures of intra-plate earthquakes with the seismic responses of a typical long-span cable-stayed bridge in China. The nonlinear finite element model used was calibrated to the existing results of the shaking table test to verify the modeling technique. In total, 104 selected ground motions were applied to the calibrated model, and the responses of various components of the bridge were obtained. This study proposed PGV as the optimal IM. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02644401
Volume :
38
Issue :
4
Database :
Complementary Index
Journal :
Engineering Computations
Publication Type :
Academic Journal
Accession number :
150909945
Full Text :
https://doi.org/10.1108/EC-05-2020-0255