2012
DOI: 10.1016/j.probengmech.2011.09.002
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Modelling and simulation of spatially varying earthquake ground motions at sites with varying conditions

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Cited by 175 publications
(76 citation statements)
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“…Since the random excitation of earthquakes is transient, the nonstationary characteristics of random excitation should be considered. Using the evolutionary theory of power spectrum density [15], the nonstationary random process can usually be written as the product of a stationary random process and a deterministic slowly varying modulation function…”
Section: Earthquake Excitation In the Time Domainmentioning
confidence: 99%
See 2 more Smart Citations
“…Since the random excitation of earthquakes is transient, the nonstationary characteristics of random excitation should be considered. Using the evolutionary theory of power spectrum density [15], the nonstationary random process can usually be written as the product of a stationary random process and a deterministic slowly varying modulation function…”
Section: Earthquake Excitation In the Time Domainmentioning
confidence: 99%
“…In engineering practice [15], the design target response spectrum at a given site is more commonly available than the ground motion power spectrum density function. Therefore, it will be very useful to generate time histories of ground motion that are compatible to a given design target response spectrum.…”
Section: Earthquake Excitation In the Time Domainmentioning
confidence: 99%
See 1 more Smart Citation
“…Bi and Hao [10] proposed a simple method to model spatially varying ground motions on the surface of non-uniform site conditions. This method takes the local site effect on motion amplification and spatial variation into consideration.…”
Section: Introductionmentioning
confidence: 99%
“…Based on the SMART-1 recordings, Hao et al (1989) proposed an empirical coherency loss function, which was recently improved by Bi and Hao (2012) to incorporate the capability of simulating spatially varying ground motions, which are design spectrum compatible. Discussion of the validity and limitations of some spatial coherency models was presented in the study of Zerva and Zervas (2002).…”
mentioning
confidence: 99%