Ground accelerations and empirical site classification through H/V response spectral ratio (HVRSR) using historical records from the strong motion network of the Aburrá Valley, Colombia

2022 ◽  
Vol 152 ◽  
pp. 107063
Author(s):  
Gustavo Posada ◽  
Gaspar Monsalve ◽  
Carlos D. Hoyos ◽  
Ana M. Pérez-Hincapié ◽  
Juan Camilo Trujillo-Cadavid
Keyword(s):  
Strong Motion ◽  
Spectral Ratio ◽  
Site Classification ◽  
Historical Records ◽  
Strong Motion Network

A Method to Directly Estimate S-Wave Site Amplification Factor from Horizontal-to-Vertical Spectral Ratio of Earthquakes (eHVSRs)

2020 ◽  
Vol 110 (6) ◽  
pp. 2892-2911
Author(s):  
Eri Ito ◽  
Kenichi Nakano ◽  
Fumiaki Nagashima ◽  
Hiroshi Kawase
Keyword(s):  
Amplification Factor ◽  
Strong Motion ◽  
Spectral Ratio ◽  
Site Amplification ◽  
Body Waves ◽  
Correction Function ◽  
Site Classification ◽  
Frequency Range ◽  
S Wave ◽  
Site Amplification Factor

ABSTRACT The main purpose of the site classification or velocity determination at a target site is to obtain or estimate the horizontal site amplification factor (HSAF) at that site during future earthquakes because HSAF would have significant effects on the strong-motion characteristics. We have been investigating various kinds of methods to delineate the S-wave velocity structures and the subsequent HSAF, as precisely as possible. After the advent of the diffuse field concept, we have derived a simple formula based on the equipartitioned energy density observed in the layered half-space for incident body waves. In this study, based on the diffuse field concept, together with the generalized spectral inversion technique (GIT), we propose a method to directly estimate the HSAF of the S-wave portion from the horizontal-to-vertical spectral ratio of earthquakes (eHVSRs). Because the vertical amplification is included in the denominator of eHVSR, it cannot be viewed as HSAF without correction. We used GIT to determine both the HSAF and the vertical site amplification factor (VSAF) simultaneously from strong-motion data observed by the networks in Japan and then deduced the log-averaged vertical amplification correction function (VACF) from VSAFs at a total of 1678 sites in which 10 or more earthquakes have been observed. The VACF without a category has a constant amplitude of about 2 in the frequency range from 1 to 15 Hz. By multiplying eHVSR by VACF, we obtained the simulated HSAF. We verified the effectiveness of this correction method using data from observation sites not used in the aforementioned averaging in the frequency range from 0.12 to 15 Hz.

Site classification of Indian strong motion network using response spectra ratios

2017 ◽  
Vol 22 (2) ◽  
pp. 419-438 ◽  
Author(s):  
Sumer Chopra ◽  
Vikas Kumar ◽  
Pallabee Choudhury ◽  
R. B. S. Yadav
Keyword(s):  
Strong Motion ◽  
Response Spectra ◽  
Site Classification ◽  
Strong Motion Network

The recording stations of the Italian strong motion network: geological information and site classification

2011 ◽  
Vol 9 (6) ◽  
pp. 1779-1796 ◽  
Author(s):  
G. Di Capua ◽  
G. Lanzo ◽  
V. Pessina ◽  
S. Peppoloni ◽  
G. Scasserra
Keyword(s):  
Strong Motion ◽  
Site Classification ◽  
Geological Information ◽  
Strong Motion Network

Methodology for Site Classification Estimation Using Strong Ground Motion Data from the Chi-Chi, Taiwan, Earthquake

2006 ◽  
Vol 22 (2) ◽  
pp. 511-531 ◽  
Author(s):  
Vietanh Phung ◽  
Gail M. Atkinson ◽  
David T. Lau
Keyword(s):  
Ground Motion ◽  
Strong Motion ◽  
Spectral Ratio ◽  
Response Spectra ◽  
Site Classification ◽  
Site Conditions ◽  
Site Condition ◽  
Borehole Data ◽  
Lower Accuracy ◽  
Taiwan Earthquake

The ground motions of the Chi-Chi, Taiwan, earthquake ( Mw=7.6) were recorded at 420 strong-motion stations, including 69 near-fault sites. However, the site conditions of many stations are not available. Among 420 strong-motion stations, the site conditions are known for only 87 stations, which were classified into four groups ( S1, S2, S3, and S4) by using borehole data and some surface geology. This paper presents a methodology to estimate the missing site condition information at strong-motion stations in Taiwan. The method is based on the shape of the 5% damped pseudo-acceleration spectrum of the horizontal ground motion component normalized with respect to average PGA, where the classification scheme is developed using the data from the 87 stations for which the site conditions are known. Possible effects of soil nonlinearity, and distance to the fault on the classification are investigated. The results obtained from the proposed methodology are well correlated with the available known site classification information data. The methodology is then applied to estimate the site condition for the other 333 stations without known site classification. Our results are compared to previous results obtained based on interpretation of geologic maps and geomorphologic data. We find that the two approaches agree in 71% of the cases. We also tested the horizontal-to-vertical spectral ratio technique to estimate the site classification of other 333 strong-motion stations. However, this technique resulted in lower accuracy than does the proposed technique based on the spectral shape of normalized response spectra.

Site classification and probabilistic estimation of Vs30 for the Iranian strong-motion network

2020 ◽  
Vol 308 ◽  
pp. 106583
Author(s):  
M.R. Najaftomarei ◽  
H. Rahimi ◽  
G. Tanircan ◽  
A. Babaie Mahani ◽  
M. Shahvar
Keyword(s):  
Strong Motion ◽  
Site Classification ◽  
Probabilistic Estimation ◽  
Strong Motion Network
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