Effect of near-fault directivity pulses on ground-motion intensity measure correlations from the NGA-West2 data set

被引:3
|
作者
Tarbali, Karim [1 ,4 ]
Bradley, Brendon A. [2 ]
Baker, Jack W. [3 ]
机构
[1] Univ Paris Saclay, CentraleSupelec, ENS Paris Saclay, CNRS,Lab Mécan Paris Saclay, Saclay, France
[2] Univ Canterbury, Christchurch, New Zealand
[3] Stanford Univ, Stanford, CA USA
[4] Univ Paris Saclay, CentraleSupelec, CNRS, ENS Paris Saclay,Lab Mécan Paris Saclay, 3 Rue Joliot-Curie Batiment Eiffel, F-91190 Gif Sur Yvette, France
关键词
Ground motion; intensity measure correlation; directivity; near fault; NGA-West2; CUMULATIVE ABSOLUTE VELOCITY; EMPIRICAL CORRELATIONS; SPECTRAL ACCELERATION; PREDICTION EQUATIONS; HORIZONTAL COMPONENT; ARIAS INTENSITY; AMPLITUDE; SELECTION; VALUES; MODEL;
D O I
10.1177/87552930231199059
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This article investigates the correlation coefficients of ground-motion intensity measures for ground motions containing near-fault directivity velocity pulses. These correlation coefficients are necessary to quantify conditional multivariate intensity measure distributions and generate realizations from them for ground-motion selection. The empirical correlations between intensity measures representing ground-motion amplitude, frequency content, duration, and cumulative effects are calculated using the RotD50 definition and compared with published models. The impact of intensity measure definition as in RotD50, RotD100, and the geometric mean is also scrutinized. The sensitivity of the results to the considered ground motion set and the reference ground motion model are addressed in the computations. The results are compared with those from only non-directivity and mixed data sets based on the NGA-West2 database. The results indicate that the adopted data set has the largest influence on the variability of the empirically computed correlation coefficients. Given the multiple sources that contribute to uncertainty in these calculations, the authors conclude that existing models for predicting median correlation coefficients based on mixed data sets are sufficient for use with directivity, non-directivity, and mixed ground motions.
引用
收藏
页码:2263 / 2280
页数:18
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