Empirical model for frequency content estimation of strong ground motion records of Iran

2022 ◽  
pp. 106526
Author(s):  
Ali Lashgari ◽  
Yaser Jafarian
Keyword(s):  
Ground Motion ◽  
Empirical Model ◽  
Strong Ground Motion ◽  
Frequency Content ◽  
Ground Motion Records ◽  
Strong Ground

FUZZY PATTERN CLASSIFICATION OF STRONG GROUND MOTION RECORDS

2005 ◽  
Vol 9 (3) ◽  
pp. 307-332 ◽  
Author(s):  
ARZHANG ALIMORADI ◽  
SHAHRAM PEZESHK ◽  
FARZAD NAEIM ◽  
HICHEM FRIGUI
Keyword(s):  
Ground Motion ◽  
Pattern Classification ◽  
Strong Ground Motion ◽  
Fuzzy Pattern ◽  
Ground Motion Records ◽  
Strong Ground

A Flatfile for the KiK-net Database Processed Using an Automated Protocol

2016 ◽  
Vol 32 (2) ◽  
pp. 1281-1302 ◽  
Author(s):  
Haitham M. Dawood ◽  
Adrian Rodriguez-Marek ◽  
Jeff Bayless ◽  
Christine Goulet ◽  
Eric Thompson
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Corner Frequency ◽  
Spectral Acceleration ◽  
Engineering Applications ◽  
Ground Motion Records ◽  
Automated Protocol ◽  
High Pass ◽  
Strong Ground ◽  
Selection Of

The Kiban-Kyoshin network (KiK-net) database is an important resource for ground motion (GM) studies. The processing of the KiK-net records is a necessary first step to enable their use in engineering applications. In this manuscript we present a step-by-step automated protocol used to systematically process about 157,000 KiK-net strong ground motion records. The automated protocol includes the selection of the corner frequency for high-pass filtering. In addition, a comprehensive set of metadata was compiled for each record. As a part of the metadata collection, two algorithms were used to identify dependent and independent earthquakes. Earthquakes are also classified into active crustal or subduction type events; most of the GM records correspond to subduction type earthquakes. A flatfile with all the metadata and the spectral acceleration of the processed records is uploaded to NEEShub ( https://nees.org/resources/7849 , Dawood et al. 2014 ).

scholarly journals Study on Liquefaction Detective Method Using Strong Ground Motion Records.

2000 ◽  
pp. 405-414 ◽  
Author(s):  
Masakatsu MIYAJIMA ◽  
Satoru NOZU ◽  
Masaru KITAURA ◽  
Masaki YAMAMOTO
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motion Records ◽  
Strong Ground

Suitability of Synthesized Waveforms for Seismic Qualification of Equipment

1984 ◽  
Vol 106 (1) ◽  
pp. 63-68 ◽  
Author(s):  
D. D. Kana ◽  
D. J. Pomerening
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Level ◽  
Frequency Content ◽  
Gaussian Random Process ◽  
Earthquake Excitation ◽  
Acceleration Time Histories ◽  
Time Histories ◽  
Orthogonal Components ◽  
Strong Ground

Qualification of nuclear plant equipment and components can be performed by analysis, test, or a combination of both. It is often required to synthesize artificial time histories which represent earthquake excitation at either ground level, or some elevated level of a structure. A set of parameters appropriate for the synthesis of acceleration time histories is developed. The parameters are based on a study of six typical earthquake accelerograms, and include general characteristics of the motion, a definition of strong ground motion, frequency content, stationarity, coherence between orthogonal components, and amplitude probability density. It is concluded that the strong ground motion can be approximated by a stationary Gaussian random process, whose frequency content depends on the ground or elevated position of concern. Coherence between orthogonal components is low at ground level, but can become high at elevated structural levels due to coupled responses. Some examples are given for application of the parameters to qualification by testing, as a means of achieving better satisfaction of existing criteria.

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