Ground Strain Estimation for Seismic Risk Analysis

Shinozuka, Masanobu; Kameda, Hiroyuki; Koike, Takao

doi:10.1061/(asce)0733-9399(1983)109:1(175)

Cited by 14 publications

(2 citation statements)

References 6 publications

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“…Under the assumption that strong motion earthquakes result primarily from surface waves in a layered medium resting on a semi-infinite rock formation, Shinozuka et al [11] proposed a method to derive the expression for the Rayleigh wave that produces acceleration at the ground surface with a specified power spectral density. In this method the ground acceleration is modeled as a Gaussian stationary processes and the power spectral densities used for these processes are function of earthquake's magnitude and epicentral distance.…”

Section: Earthquake Motion Characterization Modelsmentioning

confidence: 99%

“…Housner and Jennings [5] used Kanai Other forms of power spectral density function had been suggested by several investigators such as Park et al [15], Shinozuka et al [11], Lee et al [16], Elghadamsi et al [17], Pires and Tang [12] and Hwang and Jaw [13]. Each form has different parameters and ranges of parameter values.…”

Section: Power Spectral Density Functionsmentioning

confidence: 99%

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The simulation of earthquake ground motion for the generation of artificial accelerograms

Abdalla

Hag-Elhassan

2014

Earthquake Ground Motion

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The determination of strong ground motion acceleration-time history is vital for the evaluation of the dynamic response of existing structures and also for the earthquake resistant design of new structures. The determination of such strong ground motion records is usually obtained by using accelerometers to record the strong motion parameters in the event of earthquakes. The lack and scarcity of accelerometers for recording strong ground motion acceleration-time history in some seismically vulnerable mega-cities necessitates the use of simulation for artificial generation of these records. This paper simulates ground motion acceleration-time history using stochastic processes. The ground acceleration is modelled as a Gaussian stationary process and the non-stationary accelerationtime history is obtained by applying an envelope or shape function to the stationary process. The power spectral density used for this process is a function of the earthquakes' magnitudes, epicentral distances and site soil conditions. The generated acceleration-time history can be used to assess the vulnerability of existing buildings to earthquakes and also for the earthquake resistant design of new buildings.

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Section: Earthquake Motion Characterization Modelsmentioning

confidence: 99%

Section: Power Spectral Density Functionsmentioning

confidence: 99%

The simulation of earthquake ground motion for the generation of artificial accelerograms

Abdalla

Hag-Elhassan

2014

Earthquake Ground Motion

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Seismic Inputs for Structures

Datta

2010

Seismic Analysis of Structures

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Analysis of the spatial variation of seismic waves and ground movements from smart‐1 array data

Loh

1985

Earthq Engng Struct Dyn

103

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SUMMARYSpecially designed arrays of strong motion seismographs located near earthquake sources are required for engineering studies of the near-source properties and the spatial variation of seismic waves. The SMART-I array in Taiwan provides good records for this type of study. Careful study of the observed strong motion data permits the identification of wave types, directions and apparent wave velocities. In this paper, a principal direction ratio R ( f , 4) is defined; this indicates the principal direction of the motion (along a nearly straight line) within the range 0 < R < 1. Vertical motion of the ground is also included in this study. Orbit spectrum analysis is used to verify the identification of wave directions and wave types.The spatial variation of seismic waves along the principal direction is studied. From frequency-domain analysis, mathematical models of the spatial variation ofground displacement are developed using a wave-number spectrum and the cross-spectral density function between two spatial coordinates; these models in turn can provide two alternative models for the random vibration analysis of extensive structures subject to multiple point seismic excitation. The SMART-1 array data gathered during the January 29, 1981 earthquake also are used to demonstrate calculation of the ground strains and differential movements of the array site.From time-domain analysis, the spatial variation of seismic waves is defined for ground motion along the identified principal direction. The time variation of evolutionary spectra characterized by frequency-dependent parameters is used for tbis formulation. The SMART-1 array data again form the basis for discussion of the spatial variation of model parameters.

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Ground Strain Estimation for Seismic Risk Analysis

Cited by 14 publications

References 6 publications

The simulation of earthquake ground motion for the generation of artificial accelerograms

The simulation of earthquake ground motion for the generation of artificial accelerograms

Seismic Inputs for Structures

Analysis of the spatial variation of seismic waves and ground movements from smart‐1 array data

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