Research on high probability high frequency ground motion based on actual seismic records and source parameter uncertainty
Autor: | Li, Z., Hiroe, M., Sun, J., Gao, M., Ji, Z. |
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Rok vydání: | 2023 |
Zdroj: | XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) |
DOI: | 10.57757/iugg23-0326 |
Popis: | The loss of earthquake disaster is mainly caused by the damage and collapse of buildings caused by ground motion, and most of civil buildings in our country are greatly affected by high-frequency ground motion. The real and accurate high-frequency ground motion is of great significance for building seismic design and earthquake damage simulation. Therefore, when evaluating the high frequency ground motion, it is particularly important to consider a variety of uncertain factors of source parameters to obtain reasonable and reliable near-field high frequency seismic motion which is more in line with the actual situation. Based on the abundant strong earthquake data and scientific research results of the Lushan earthquake, this project plans to take the Lushan earthquake affected area as the demonstration area, use the empirical Green's function method as the simulation tool. The logic tree method and statistical empirical relationship are used to comprehensively deal with various uncertainties of parameters. The non-uniform stress drop and dynamic corner frequency are introduced into the key source parameters. By establishing the sliding distribution characteristic source model considering the parameter uncertainty, the high frequency strong ground motions with higher probability of different set magnitudes are obtained. The quantifiable scheme to verify the reliability of ground motion evaluation results is tried to be given. The practical high frequency ground motion evaluation method based on real small earthquake records and parameter uncertainty is also developed. It can provide more real and reliable high frequency ground motion input for seismic design and damage simulation of buildings. The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) |
Databáze: | OpenAIRE |
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