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Modeling the Joint Probability Distribution of Main Shock and Aftershock Spectral Accelerations

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Authors
Hu, Sheng; Tabandeh, Armin; Gardoni, Paolo
Issue Date
2019-05-26
Citation
13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), Seoul, South Korea, May 26-30, 2019
Abstract
Seismic risk analysis of deteriorating structures and infrastructure often requires predicting the intensity measures of earthquake ground motions in main shock-aftershock sequences. The uncertainty in the intensity measures of ground motions is typically a dominant contributor to the total uncertainty of the seismic risk analysis. A model for the joint probability distribution of main shock and aftershock intensity measures is thus required to accurately quantify the uncertainty in the seismic risk analysis. The spectral accelerations of ground motions have been identified as significant intensity measures for the seismic risk analysis of structures and infrastructure. The values of spectral accelerations can be affected by many factors representing the characteristics of the seismic source, travel path of seismic waves, and local site conditions. These factors can also introduce statistical dependence among main shock and aftershock spectral accelerations. This paper develops a novel formulation for the joint probability distribution of main shock and aftershock spectral accelerations at multiple periods. We select existing predictive models for the spectral accelerations of main shocks and develop a separate model for the spectral accelerations of aftershocks. The proposed formulation also estimates the correlations between the relevant pairs of model error terms in the two probabilistic predictive models for a wide range of periods. This allows us to separately capture the similarity in source and site and thus present the physical meanings. The increased vulnerability of structures and infrastructure in the aftermath of a damaging mainshock can further highlight the significance of capturing such correlations in the seismic risk analysis.
Language
English
URI
http://hdl.handle.net/10371/153278
DOI
https://doi.org/10.22725/ICASP13.056
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Civil & Environmental Engineering (건설환경공학부)ICASP13
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