Ground Acceleration near St. Michael's Church during the 1886 Charleston, SC, Earthquake

1990 ◽  
Vol 6 (1) ◽  
pp. 81-103 ◽  
Author(s):  
David J. Elton ◽  
Eugene A. Marciano
Keyword(s):  
Structural Analysis ◽  
Coefficient Of Variation ◽  
Structural Design ◽  
Peak Ground Acceleration ◽  
Strong Motion ◽  
Ground Acceleration ◽  
Engineering Characteristics ◽  
Motion Event ◽  
Input Parameters ◽  
Event Based

The historic and continuing seismicity in the southeastern U.S. indicate the seismic threat to the population. However, little is known about the engineering characteristics of eastern U.S. earthquakes because there are no strong motion recordings of them. In particular, the peak ground acceleration, needed for structural design, is not available except through correlations with western U.S. earthquakes or MMI data of unknown uncertainty. This paper estimates the peak ground acceleration experienced by St. Michael's Church during the 1886 Charleston, SC, event based on conventional and probabilistic structural analysis. The 1886 event, rated as MMI X and magnitude 7, is the only historic strong motion event greater than mb = 5 that affected Charleston. The analysis concluded that the peak ground acceleration for the 1886 event was 0.33g. The coefficient of variation of this acceleration was 24%, remarkably small when considering the uncertainty in the input parameters.

scholarly journals Seismic Hazard of the Uttarakhand Himalaya, India, from Deterministic Modeling of Possible Rupture Planes in the Area

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Anand Joshi ◽  
Ashvini Kumar ◽  
Heriberta Castanos ◽  
Cinna Lomnitz
Keyword(s):  
Seismic Hazard ◽  
Peak Ground Acceleration ◽  
Strong Motion ◽  
Semiempirical Method ◽  
Empirical Method ◽  
Attenuation Relation ◽  
Ground Acceleration ◽  
Important Region ◽  
Semi Empirical ◽  
Uttarakhand Himalaya

This paper presents use of semiempirical method for seismic hazard zonation. The seismotectonically important region of Uttarakhand Himalaya has been considered in this work. Ruptures along the lineaments in the area identified from tectonic map are modeled deterministically using semi empirical approach given by Midorikawa (1993). This approach makes use of attenuation relation of peak ground acceleration for simulating strong ground motion at any site. Strong motion data collected over a span of three years in this region have been used to develop attenuation relation of peak ground acceleration of limited magnitude and distance applicability. The developed attenuation relation is used in the semi empirical method to predict peak ground acceleration from the modeled rupture planes in the area. A set of values of peak ground acceleration from possible ruptures in the area at the point of investigation is further used to compute probability of exceedance of peak ground acceleration of values 100 and 200 gals. The prepared map shows that regions like Tehri, Chamoli, Almora, Srinagar, Devprayag, Bageshwar, and Pauri fall in a zone of 10% probability of exceedence of peak ground acceleration of value 200 gals.

Strong-Motion Data from Structural Response Recorders in Indian Earthquakes

2012 ◽  
Vol 28 (1) ◽  
pp. 77-103 ◽  
Author(s):  
Sudhir K. Jain ◽  
A. D. Roshan ◽  
Siddharth Yadav ◽  
Sonam Srivastava ◽  
Prabir C. Basu
Keyword(s):  
Peak Ground Acceleration ◽  
Structural Response ◽  
Time History ◽  
Strong Motion ◽  
Ground Acceleration ◽  
Motion Data ◽  
The Past ◽  
Simple Instrument ◽  
Low Costs ◽  
The 1960S

In the 1960s several hundred structural response recorders (SRR) were installed all over India. An SRR is a simple instrument consisting of six seismoscopes that provide “maximum response” during an earthquake, without providing the time history. In the past earthquakes, these SRRs have provided several hundred records but they have not been effectively utilized for hazard studies because the measurements from these instruments are considered crude. This paper compares the data obtained from SRRs with that from more modern strong-motion accelerographs (SMAs) for four earthquakes in India. It is shown through statistical analysis that the response obtained from the SRRs is comparable to that from the SMAs. A method has been presented for estimating peak ground acceleration (PGA) from SRR data. Thus, it is shown that SRRs can provide a substantial amount of PGA data for attenuation studies. Many countries may find SRRs useful because of the low costs associated with their manufacture and maintenance.

Attenuation relationship for estimation of peak ground horizontal acceleration using data from strong-motion arrays in India

1998 ◽  
Vol 88 (4) ◽  
pp. 1063-1069
Author(s):  
M. L. Sharma
Keyword(s):  
Regression Model ◽  
Peak Ground Acceleration ◽  
Strong Motion ◽  
Attenuation Relationship ◽  
Ground Acceleration ◽  
Data Set ◽  
Hypocentral Distance ◽  
Horizontal Acceleration ◽  
Attenuation Relationships ◽  
Using Data

Abstract An attenuation relationship for peak horizontal ground accelerations for Himalayan region in India has been developed. The data base consists of 66 peak ground horizontal accelerations from five earthquakes recorded by strong-motion arrays in India. The present analysis uses a two-step stratified regression model. The attenuation relationship proposed is log ( A ) = − 1.072 + 0.3903 M − 1.21 log ( X + e 0.5873 M ) , where A is the peak ground acceleration (g), M is the magnitude, and X is the hypocentral distance from the source. The residual sum of squares is 0.14. Comparison with other such attenuation relationships have been made. The proposed relationship giving lesser values at shorter distances compared to other relationships needs further investigation with a larger data set. The attenuation relationship needs upgradation when more data become available in future.

Statistical properties of peak ground acceleration and their effect on results of probabilistic seismic hazard analysis

2020 ◽  
Author(s):  
Vasily Pavlenko
Keyword(s):  
Seismic Hazard ◽  
Normal Distribution ◽  
Ground Motion ◽  
Peak Ground Acceleration ◽  
Hazard Analysis ◽  
Strong Motion ◽  
Extreme Value Distribution ◽  
Statistical Properties ◽  
Ground Acceleration ◽  
Seismic Hazard Curve

<p>The problem is considered of unrealistic ground motion estimates, which arise when the Cornell–McGuire method is used to estimate the seismic hazard for extremely low annual probabilities of exceedance. This problem stems from using the normal distribution in the modelling of the variability of the logarithm of ground motion parameters. In this study, the statistical properties of the logarithm of peak ground acceleration (PGA) are analysed by using the database of the strong-motion seismograph networks of Japan. The normal distribution and the generalised extreme value distribution (GEVD) models were considered in the analysis, with the preferred model being selected based on statistical criteria. The results indicate that the GEVD was a more appropriate model in eleven out of twelve instances. The estimates of the shape parameter of the GEVD were negative in every instance, indicating the presence of a finite upper bound of PGA. Therefore, the GEVD provides a model that is more realistic for the scatter of the logarithm of PGA, and the application of this model leads to a bounded seismic hazard curve.</p>

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