Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: International KES Conference on Intelligent Decision Technologies, KES-IDT 2021
Год издания: 2021
Идентификатор DOI: 10.1007/978-981-16-2765-1_13
Ключевые слова: accelerogram, earthquake, numerical simulation, psha, response spectrum
Аннотация: The paper is a continuation of the research of the effect of combining seismological and engineering-seismological methods based on real geological and geophysical data. A probabilistic seismic hazard analysis and numerical modeling of acceleration response spectra for soil were performed for the site. Using the Monte Carlo method, 100 realizations of each of the 106 soil profile models of the site were prepared to take into account the uncertainty and scatter in shear wave velocities of the geological layers. Comparing and analyzing the results obtained, it was found that the generalized acceleration response spectrum relative to the surface, taking into account the parameters of a 30 m thickness, provides for most of the considered spectral periods higher estimates of spectral accelerations than numerical modeling and can be used to preliminary estimate the acceleration amplitudes of the response spectrum for soil profile before performing seismic microzoning. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Издание
Журнал: Smart Innovation, Systems and Technologies
Выпуск журнала: Vol. 238
Номера страниц: 161-171
ISSN журнала: 21903018
Издатель: Springer Science and Business Media Deutschland GmbH
Персоны
- Mironov V. (Institute of Computational Modeling SB RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation, Krasnoyarsk Branch of the Federal Research Center for Information and Computational Technologies, 53 Mira Pr, Krasnoyarsk, 660049, Russian Federation)
- Simonov K. (Institute of Computational Modeling SB RAS, 50/44 Akademgorodok, Krasnoyarsk, 660036, Russian Federation)
- Zotin A. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Pr, Krasnoyarsk, 660037, Russian Federation)
- Kurako M. (Siberian Federal University, 79 Svobodny Pr, Krasnoyarsk, 660041, Russian Federation)
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