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Empirical Correlations Between Horizontal and Vertical Ground-Motion Intensity Measures

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SEISMOLOGICAL SOC AMER
DOI: 10.1785/0120220076

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This study examined the empirical correlations among horizontal and vertical ground-motion intensity measures and developed prediction models for the correlation coefficients. The results showed moderate correlations between the same intensity measures of horizontal and vertical ground motions. The correlation coefficient models provide a theoretical basis for selecting ground motions using generalized conditional intensity measure.
This study examined empirical correlations among several horizontal and vertical ground-motion intensity measures (IMs), including spectral acceleration (SA), peak ground acceleration (PGA), peak ground velocity, acceleration spectrum intensity, velocity spectrumintensity, displacement spectrum intensity, spectrum intensity, effective peak acceleration (EPA), effective peak velocity (EPV), and effective peak displacement (EPD). The theoretical basis for the prediction equations of EPA, EPV, and EPD were developed based on the ground-motion model (GMM) of SA(T). Horizontal and vertical Next Generation Attenuation (NGA)-West2 GMMs and associated ground motions from active shallow crustal earthquakes in the NGA-West2 database were used to calculate empirical correlations. Fisher. transformation and nonparametric bootstrapping methods were able to accurately describe the uncertainty caused by the limited sample size. The multivariate normality of the total residuals of the horizontal and vertical ground-motion IMs was verified. The results have shown a moderate correlation between the same IMs of horizontal and vertical ground motions. The difference in correlations between the IMs for two different combination cases (IMi, H-IMj,V and IMj,H-IMi,V) was not significant. The trends of rho(ln IMV,lnSAH) and rho(ln IMH,lnSAV) were almost the same, except that rho(ln IMV,lnSAH) was greater than rho(ln IMH,lnSAV) in the 0-0.3 s period, except for rho(ln PGAV,lnSAH). Moreover, the median correlation coefficients were parametrically fitted to establish a correlation coefficient prediction model. Finally, an example of constructing the conditional distribution using the correlation coefficient models for horizontal and vertical ground motions IMs was given. The correlation coefficient models by this study provide the theoretical basis for the selection of horizontal and vertical ground motions using generalized conditional intensity measure.

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