Combined Approach to Modeling of Acceleration Response Spectra in Areas of Active Shallow Seismicity | Научно-инновационный портал СФУ

Combined Approach to Modeling of Acceleration Response Spectra in Areas of Active Shallow Seismicity

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.

Ссылки на полный текст

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)

Вхождение в базы данных

Информация о публикациях загружается с сайта службы поддержки публикационной активности СФУ. Сообщите, если заметили неточности.

Вы можете отметить интересные фрагменты текста, которые будут доступны по уникальной ссылке в адресной строке браузера.