Lifetime response of a liquefiable soil foundation-embankment system subjected to sequences of mainshocks and aftershocks

Khalil, Christina; López-Caballero, Fernando

doi:10.1016/j.soildyn.2023.108107

Cited by 4 publications

(1 citation statement)

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“…The function could reflect the characteristics of the local site of the project by modeling the source, propagation path, and local site. The epidemic-type aftershock sequence (ETAS) model [24] and the branching aftershock sequence (BASS) model [25] are also widely used to simulate the regional aftershock sequences. Wang et al [23] analyzed the stochastic simulation of the main aftershock sequences based on the physical random function and established the relationship between the main shock and aftershocks according to the theoretical copula model.…”

Section: Introductionmentioning

confidence: 99%

The Generation of the Target Aftershock Spectrum Based on the Conditional Mean Spectrum of Aftershocks

Zhu,

Du,

Yang

et al. 2023

Buildings

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Numerous studies have examined the responses of various structures to the mainshock–aftershock (MS–AS) ground motion, and the MS–AS ground motions are very important as the input. Therefore, in the absence of aftershock information, it is particularly critical to construct a reasonable MS–AS seismic sequence. This paper aims to provide a new reasonable method for generating the target aftershock response spectrum, which can be used to select or artificially simulate aftershock ground motion, given the seismic information of the main shock. Firstly, the magnitude, fault size, and location of the aftershock are determined. Then, other parameters required for the aftershock ground motion prediction equation (GMPE) are calculated. Subsequently, the correlation of the spectral shape to the MS–AS ground motion is used to modify the response spectrum predicted using the GMPE to obtain the conditional mean spectrum of aftershocks (CMSA). Finally, the relative errors of the predicted spectrum via the ASK14 model and CMSA are compared for four different assumptions. The results show that the simulated aftershock parameters and the actual ones accord well, and the relative errors of the CMSA can be controlled within 20%. Meanwhile, the discrete property of the target aftershock response spectrum is closer to the real recorded response spectrum.

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Section: Introductionmentioning

confidence: 99%