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Hashimura, Hirohiko; Uryu, Mitsuru; Yamazaki, Toshihiko; Nakanishi, Ryuji; Kirita, Fumio; Kojima, Keidai
no journal, ,
no abstracts in English
Kirita, Fumio; Uryu, Mitsuru; Yamazaki, Toshihiko; Hashimura, Hirohiko; Nakanishi, Ryuji; Kojima, Keidai
no journal, ,
no abstracts in English
Kojima, Keidai; Uryu, Mitsuru; Yamazaki, Toshihiko; Hashimura, Hirohiko; Nakanishi, Ryuji; Kirita, Fumio
no journal, ,
no abstracts in English
Nakanishi, Ryuji; Uryu, Mitsuru; Yamazaki, Toshihiko; Hashimura, Hirohiko; Kirita, Fumio; Kojima, Keidai
no journal, ,
no abstracts in English
Uryu, Mitsuru; Kirita, Fumio; Yamazaki, Toshihiko; Hashimura, Hirohiko; Nakanishi, Ryuji; Kojima, Keidai
no journal, ,
no abstracts in English
Yuzawa, Yutaka*; Uryu, Mitsuru; Yamazaki, Toshihiko; Kirita, Fumio; Mashimo, Mitsugu*
no journal, ,
no abstracts in English
Nishida, Akemi; Igarashi, Sayaka*; Sakamoto, Shigehiro*; Muramatsu, Ken*; Takada, Tsuyoshi*
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Most probabilistic risk assessments (PRA) of structures involve the use of probabilistic schemes such as the scheme using probabilistic seismic hazard and fragility curves. Even when earthquake ground motions are required in Monte Carlo Simulations (MCS), they are generated to fit the specified response spectra, such as uniform hazard spectra at a specified exceedance probability. These ground motions, however, are not directly linked with corresponding seismic source characteristics. In this context, the authors propose a methodology based on MCS to reproduce a set of input ground motions to develop an advanced PRA scheme that can explain the exceedance probability and sequence of functional loss in a nuclear power plant. In this report, the outline of the methodology to reproduce a set of input ground motions is shown.
Igarashi, Sayaka*; Nishida, Akemi; Sakamoto, Shigehiro*; Muramatsu, Ken*; Takada, Tsuyoshi*
no journal, ,
Most probabilistic risk assessments (PRA) of structures involve the use of probabilistic schemes such as the scheme using probabilistic seismic hazard and fragility curves. Even when earthquake ground motions are required in Monte Carlo Simulations (MCS), they are generated to fit the specified response spectra, such as uniform hazard spectra at a specified exceedance probability. These ground motions, however, are not directly linked with corresponding seismic source characteristics. In this context, the authors propose a methodology based on MCS to reproduce a set of input ground motions to develop an advanced PRA scheme that can explain the exceedance probability and sequence of functional loss in a nuclear power plant. In this report, the analytical results of seismic source characteristics of 200 ground motions consistent with seismic hazard are shown.