Layered Bayes Model and Information Criteria for Rare Event Risk Analysis
Project/Area Number |
20560775
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Nuclear engineering
|
Research Institution | Osaka University |
Principal Investigator |
YAMAGUCHI Akira Osaka University, 工学研究科, 教授 (10403156)
|
Co-Investigator(Kenkyū-buntansha) |
TAKATA Takashi 大阪大学, 工学研究科, 准教授 (40423206)
|
Project Period (FY) |
2008 – 2010
|
Project Status |
Completed (Fiscal Year 2010)
|
Budget Amount *help |
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
Keywords | 確率論的安全評価 / 耐震安全性 / フラジリティ / 情報エントロピー / ベイズ推定 / 情報量基準 / 原子力プラント / ベィズ推定 / 共通原因故障 / ベイズ法 / ベイズ共役関数 / 情報量規準 |
Research Abstract |
In the seismic PSA of nuclear facilities, seismic fragilities of equipment and systems are to be evaluated. However, the fragilities involve uncertainties since the seismically-induced failure mechanism is not sufficiently known and a failure event is rare. In the present study, a new methodology for quantifying the common mode failure caused by external events and for reducing fragility uncertainty using very limited information. The information criterion is selected as the index for the uncertainty. It has been found that the present work is useful for the risk assessment and management of rare earthquake hazard.
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Report
(4 results)
Research Products
(16 results)