Correlation of response spectral values in Japanese ground motions

Jayaram, Nirmal; Baker, Jack W.; Okano, Hajime; Ishida, Hiroshi; McCann, Martin W.; Mihara, Yoshinori

doi:10.12989/eas.2011.2.4.357

Cited by 30 publications

(26 citation statements)

References 7 publications

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“…It is worth mentioning that the dividing value was chosen so that any of the two subsets contained at least 20% of the total number of GMRs, that is, 300 GMRs in the current study. As can be seen in Figure 4, the SP index is much more significant in the case of magnitude in comparison with distance, which is also in agreement with the findings of the studies of Jayaram et al [17].…”

Section: The Significance Of a Statistical Difference Between Correlasupporting

confidence: 91%

“…As can be seen in Figure , the SP index is much more significant in the case of magnitude in comparison with distance, which is also in agreement with the findings of the studies of Jayaram et al . .…”

Section: The Significance Of a Statistical Difference Between Correlamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The effect of the ground motion model and ground motion dataset on the correlation coefficient values has shown to be negligible by a comparison of four Next Generation Attenuation (NGA) relationships [15]. The influence of some seismic parameters has also been investigated by researchers [16,17]. Jayaram et al (2008) showed that the effect of the ground motion model, the earthquake source mechanism, the seismic zone, the site conditions, and the source-to-site distance on estimated correlations were negligible in the case of a Japanese earthquake ground motion dataset [17].…”

Section: Introductionmentioning

confidence: 99%

“…The influence of some seismic parameters has also been investigated by researchers [16,17]. Jayaram et al (2008) showed that the effect of the ground motion model, the earthquake source mechanism, the seismic zone, the site conditions, and the source-to-site distance on estimated correlations were negligible in the case of a Japanese earthquake ground motion dataset [17]. In addition, Baker (2005) showed that, in the case of the classification of a dataset consisting of 534 GMRs into different subsets based on M and R, no trend could be seen, and therefore concluded that the correlation coefficient is not a function of M and R [16].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Dependence of correlations between spectral accelerations at multiple periods on magnitude and distance

Azarbakht

Mousavi

Nourizadeh

et al. 2013

Earthq Engng Struct Dyn

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SUMMARY In this paper, the dependence of correlations between spectral accelerations at multiple periods on magnitude (M) and distance (R) has been investigated. For this purpose, a relatively large dataset of ground motion records (GMRs), containing 1551 records with a wide range of seismic characteristics, was selected. It is shown that the difference in the correlation coefficient is statistically meaningful when the general GMR dataset is divided into two subsets based on an arbitrary M or R. The observed difference is more meaningful in the case of magnitude when compared with distance. The general dataset of GMRs was then divided into four separate subsets based on optimum values of M and R, so that the four obtained subsets were given the greatest dissimilarity in terms of the correlation coefficients. The correlation coefficients between spectral accelerations at multiple periods were calculated in the case of the four subsets and compared with the available correlations in the literature. The conditional mean spectrum was also calculated by means of the conventional correlation coefficients, as well as by using the proposed M and R dependent correlation coefficients. The results show that, despite the commonly available findings in the literature, this dependence is significant and should not be neglected in the conditional spectra calculation process. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: The Significance Of a Statistical Difference Between Correlasupporting

confidence: 91%

Section: The Significance Of a Statistical Difference Between Correlamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%