Pseudo-dynamic experimental study on seismically isolated prefabricated RC structure with roller-bearing subjected to mainshock-aftershock sequences

Huang, Xiaoning; Liu, Jieya; Wang, Ning; Xu, Sheng

doi:10.1016/j.jobe.2022.105775

Cited by 2 publications

(1 citation statement)

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“…Due to the randomness of various factors such as the focal location, focal depth, fault strike in the earthquake, and site conditions, the disaster caused by the aftershock is more catastrophic than the main earthquake. Therefore, some researchers have shifted more attention to the responses of various structures under the main shock and aftershocks [2][3][4][5][6][7], such as the special steel moment frame structures, corroded steel moment-resisting frames, etc. As a result, structural performance indexes such as vulnerability and recoverability under main shock and aftershock have been widely studied [8][9][10].…”

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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