Ground-Motion Prediction Models for Arias Intensity and Cumulative Absolute Velocity for Japanese Earthquakes Considering Single-Station Sigma and Within-Event Spatial Correlation

被引:55
作者
Foulser-Piggott, Roxane [1 ]
Goda, Katsuichiro [2 ]
机构
[1] Univ Cambridge, Judge Business Sch, Ctr Risk Studies, Trumpington St, Cambridge CB2 1QA, England
[2] Univ Bristol, Dept Civil Engn, Bristol BS8 1TR, Avon, England
关键词
KIK-NET DATA; STANDARD-DEVIATION; HORIZONTAL COMPONENT; RESPONSE SPECTRA; SITE CONDITIONS; K-NET; ATTENUATION; VARIABILITY; DATABASE; EQUATIONS;
D O I
10.1785/0120140316
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Arias intensity (I-A) and cumulative absolute velocity (CAV) are ground-motion measures that have been found to be well suited to application in a number of problems in earthquake engineering. Both measures reflect multiple characteristics of the ground motion (e.g., amplitude and duration), despite being scalar measures. In this study, new ground-motion prediction models for the average horizontal component of I-A and CAV are developed, using an extended database of strong-motion records from Japan, including the 2011 Tohoku event. The models are valid for magnitude greater than 5.0, rupture distance less than 300 km, and focal depth less than 150 km. The models are novel because they take account of ground-motion data from the 2011 Tohoku earthquake while incorporating other important features such as event type and regional anelastic attenuation. The residuals from the ground-motion modeling are analyzed in detail to gain further insights into the uncertainties related to the developed median prediction equations for I-A and CAV. The site-to-site standard deviations are computed and spatial correlation analysis is carried out for I-A and CAV, considering both within-event residuals and within-event single-site residuals for individual events as well as for the combined dataset.
引用
收藏
页码:1903 / 1918
页数:16
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