Analysis of Correlation Coefficients between Two Orthogonal Components of Strong-Motion Records

2021 ◽  
Vol 21 (5) ◽  
pp. 5_161-5_183
Author(s):  
Makoto TAKAO ◽  
Hiroaki SATO
Keyword(s):  
Correlation Coefficients ◽  
Strong Motion ◽  
Strong Motion Records ◽  
Orthogonal Components

Catalogue of U.S. Geological Survey strong-motion records, 1993

Circular ◽  
1995 ◽  
Author(s):  
J. C. Switzer ◽  
R.L. Porcella
Keyword(s):  
Strong Motion ◽  
Geological Survey ◽  
Strong Motion Records

Peak acceleration from strong-motion records: A postscript

1980 ◽  
Vol 70 (6) ◽  
pp. 2295-2297
Author(s):  
David M. Boore ◽  
Ronald L. Porcella
Keyword(s):  
Strong Motion ◽  
Peak Acceleration ◽  
Strong Motion Records

The accuracy of soil response estimates using soil-to-rock spectral ratios

1996 ◽  
Vol 86 (2) ◽  
pp. 519-523
Author(s):  
Igor A. Beresnev ◽  
Kuo-Liang Wen
Keyword(s):  
Site Response ◽  
Soft Soil ◽  
Strong Motion ◽  
Finite Depth ◽  
Spectral Ratios ◽  
Site Specific ◽  
Soil Response ◽  
Strong Motion Records ◽  
The Real ◽  
Specific Amplification

Abstract Spectral ratios between soft soil and reference rock sites are often used to predict the sedimentary site response to earthquakes. However, their relationship with the genuine site-specific amplification function is often unclear. We compare the soil-to-rock spectral ratios between the stations that are 3.3 km apart with the “genuine” response given by the ratios between the surface and 17 and 47 m downhole. Data from the SMART1 array in Taiwan are used. The “weak” and “strong” motion records are addressed separately to allow for nonlinear soil response. The soil-to-rock spectral ratios are nearly identical to the “true” amplification at the frequencies from 1 to 10 Hz, if the finite depth of the borehole is taken into account. They correctly capture the strong-motion deamplification effect. However, the soil-to-rock spectral ratios are roughly 1.4 times more uncertain than surface-to-47-m ratios. In summary, the soil-to-rock spectral ratios can be considered as the reliable estimates of the real site response.

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