scholarly journals Simulation of Ground Motion Using the Stochastic Method

2003 ◽  
pp. 635-676 ◽  
Author(s):  
David M. Boore
Keyword(s):  
Ground Motion ◽  
Stochastic Method

Study on simulating strong ground motion by fractal stochastic method

2005 ◽  
Vol 18 (4) ◽  
pp. 490-495
Author(s):  
Meng-qiu Guo ◽  
Bin Wang ◽  
Zhao-yong Xu
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Stochastic Method ◽  
Strong Ground

Ground‐Motion Variability for Single Site and Single Source through Deterministic Stochastic Method Simulations: Implications for PSHA

2017 ◽  
Vol 107 (2) ◽  
pp. 966-983 ◽  
Author(s):  
Maria D’Amico ◽  
Mara Monica Tiberti ◽  
Emiliano Russo ◽  
Francesca Pacor ◽  
Roberto Basili
Keyword(s):  
Ground Motion ◽  
Stochastic Method ◽  
Single Site ◽  
Single Source ◽  
Ground Motion Variability

Revisions to Some Parameters Used in Stochastic‐Method Simulations of Ground Motion

2015 ◽  
Vol 105 (2A) ◽  
pp. 1029-1041 ◽  
Author(s):  
David M. Boore ◽  
Eric M. Thompson
Keyword(s):  
Ground Motion ◽  
Stochastic Method

scholarly journals Simulation of Ground Motion Using the Stochastic Method

2003 ◽  
Vol 160 (3) ◽  
pp. 635-676 ◽  
Author(s):  
D. M. Boore
Keyword(s):  
Ground Motion ◽  
Stochastic Method

scholarly journals SEISIMPACT-THES: A SCENARIO EARTHQUAKE AFFECTING THE BUILT ENVIRONMENT OF THE PREFECTURE OF THESSALONIKI

2004 ◽  
Vol 36 (3) ◽  
pp. 1412 ◽  
Author(s):  
A. Kiratzi ◽  
Z. Roumelioti ◽  
Ch. Benetatos ◽  
N. Theodulidis ◽  
A. Savvaidis ◽  
...  
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Stochastic Method ◽  
Urban Region ◽  
Future Scenario ◽  
Ground Motion Parameters ◽  
Scenario Earthquake ◽  
Scenario Earthquakes ◽  
Motion Parameters ◽  
Strong Ground

In the framework of the "SEISIMPACT-THES" project (Koutoupes et al., 2004; Savvaidis et al., 2004) a GIS database has been designed to include information on a wide range of components related to seismic risk within the broader area of the prefecture of Thessaloniki. One of these components refers to the distribution of strong ground motion produced by large earthquakes and the ability of a potential future user of the database to retrieve information regarding the distribution of strong ground motion from past destructive earthquakes in the area of Thessaloniki, as well as relative information for realistic future scenario earthquakes in the same area. The selection of future scenario earthquakes that may affect this urban region of interest is based on a combined review of historical data, previous probabilistic and deterministic hazard assessments, seismotectonic and microseismicity studies, relocated seismicity in northern Greece and the experience gained from worldwide research. In this study we present the results from hypothetical rupture of one fault that is located at the suburbs of the city, the Asvestochori fault. Empirical relations applicable to Greece (Papazachos & Papazachou 2003), as well as seismicity information are combined to determine the dimensions of the scenario earthquake source. Strong ground motion for the selected scenario is simulated using the stochastic method for finite faults (Beresnev and Atkinson, 1997). Uncertainties due to unknown parameters such as the rupture initiation point and the distribution of slip on the fault plane are taken into account by examining a large number of random scenarios. The average values from these multiple scenarios are then used to compile maps of strong ground motion parameters (e.g. peak ground acceleration and spectral acceleration). Although the examined scenario earthquake is moderate in size (Mw 5.2), the level of the resulting strong ground motion parameters is indicative of the potential destructiveness of the examined source. Due to the simplicity in the underlying assumptions of the stochastic method, the results of this study are a first-order approximation to the problem of defining expected shaking in the wider area of Thessaloniki. Other strong motion simulation methods of more deterministic character will also be applied for the same purpose in the framework of the SEISIMPACT-THES project.

Seismology Based Ground Motion Attenuation Relationship for Sendai Area

2011 ◽  
Vol 382 ◽  
pp. 7-11
Author(s):  
Zheng Ru Tao ◽  
Xia Xin Tao ◽  
Xi Wei Wang
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Stochastic Method ◽  
Empirical Relationships ◽  
Attenuation Relationships ◽  
Ground Motion Attenuation ◽  
Micro Genetic Algorithm ◽  
Fourier Spectra ◽  
Ground Motion Records ◽  
Strong Ground

For regions without adequate strong ground motion records, a method is developed to establish strong ground motion attenuation relationships, based on the stochastic method. Sendai area of Japan is selected as the target, since there are enough data from seismographic observation for calculation, and those from strong ground motion observation and some empirical relationships for result testing. Three parameters related to regional source and crustal medium are inversed by the micro-Genetic Algorithm. Total of 240 records from 77 small events, recorded by F-net, are adopted for the inversion. Fourier spectra are adopted as the objective function. These parameters are then taken into the stochastic method to estimate PGA. The regional ground motion attenuation relationships are compared with some strong ground motion records from K-NET and some empirical relationships to illustrate the reliability of this method.

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