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Takaya, Shigeru; Sasaki, Naoto*; Tomobe, Masato*
JAEA-Data/Code 2015-002, 54 Pages, 2015/03
JAEA-Data-Code-2015-002.pdf:25.53MB
Many efforts have been made to implement the System Based Code concept of which objective is to optimize margins dispersed in several codes and standards. Failure probability is expected to be a promising quantitative index for optimization of margins, and statistical information for random variables is needed to evaluate failure probability. Statistical information of material strength has not been provided enough yet. In this report, the statistical properties of material strength was estimated for SUS304, 316FR steel and some other austenitic stainless steels. These materials are registered in the JSME code of design and construction of fast reactors, so test data used for developing the code were used as much as possible in this report.
Murata, Isao*; Mori, Takamasa; Nakakawa, Masayuki; *
JAERI-Data/Code 96-016, 79 Pages, 1996/03
JAERI-Data-Code-96-016.pdf:2.81MB
no abstracts in English
Shimooke, Takanori; ; *;
JAERI-M 7447, 58 Pages, 1977/12
no abstracts in English
Zheng, X.; Tamaki, Hitoshi; Sugiyama, Tomoyuki
no journal, ,
Probabilistic risk assessment (PRA) is an approach to quantifying risk of accidents including their stochastic uncertainties and consequences. However, because of inadequate understanding of phenomena, PRA results involve epistemic uncertainties. In this study, from the perspective of probability-of-frequency, we compared approaches of conventional PRA and dynamic PRA. Dynamic PRA has the advantages in the treatment of dependencies between accident progression and failure modes, so it is an advanced approach possible to mitigate epistemic uncertainties.