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Iwanaga, Kohei; Yamane, Tsuyoshi; Nishihara, Kenji; Okajima, Shigeaki; Sekimoto, Hiroshi*; Asaoka, Takumi*
Proceedings of 11th International Conference on Nuclear Engineering (ICONE-11) (CD-ROM), 10 Pages, 2003/04
no abstracts in English
Li-enriched breeding blanket with Li
TiO
/Be/F82H assembly using D-T neutronsOchiai, Kentaro; Klix, A.; Hori, Junichi; Morimoto, Yuichi*; Wada, Masayuki*; Nishitani, Takeo
Journal of Nuclear Science and Technology, 39(Suppl.2), p.1147 - 1150, 2002/08
Thermal blanket type as one of conceptual designs for DEMO-fusion blanket is proposed. We have irradiated the trial blanket assembly which was stratified 95-% enriched Li2TiO3,F82H and beryllium block using Fusion Neutron Source (FNS) and verified the accuracy of these parameters by measurements of tritium and gamma-ray emitted from samples of95-% enriched Li2TiO3 and F82H. We have used the liquid scintillated counter as the method of tritium measurement. Activation foils, NE213, Si-SBD and Fission chamber have usedto measure neutron fluence. Moreover, we have concurrently measured the gamma rays of 56Mn, 54Mn, 187W and 51Cr was produced by 56Fe(n,p), 54Fe(n,p), 186W(n,g), 52Cr(n,2n) and 50Cr(n,g) in F82H. We have used the JENDL Fusion File library and MCNP to verify the accuracy tritium-production rate and 56Mn, 54Mn, 187W and 51Cr. From the results of above experiments, MCNP that uses the JENDL-FF nuclear data library can predict the nuclear parameters such as TPR, Nb, 56Mn, In and 54Mn in the test assemblies within an accuracy of 10%.
Yamaguchi, Akira
PNC TN9410 94-070, 51 Pages, 1994/02
Seismic fragilities of equipment and systems are evaluated in a seismic probabilistic safety analysis (PSA). The seismic fragility is defined as the failure probability and its uncertainty at various ground acceleration levels. One evaluates the seismic fragility efficiently by making most use of available information in the seismic PSA. This study is related to a Bayesian inference method to reflect the information to the seismic fragility evaluation. Information that can be used in the Bayesian inference is (1)seismic experience data, (2)expert judgment on the seismic fragility, (3)seismic test data. The generic fragility database was used as the prior fragility that was to be updated. The acceleration level of the seismic experience and test data is much lower than the median value of the seismic capacity level of equipment. However, it is useful to cut down the lower tail of the fragility curves thus the modeling uncertainty. As the results, it is has been found that the annual frequency of failure that is calculated by the convolution of the fragility with seismic hazard curves is reduced considerably. Furthermore, the author has proposed the concept of entropy to quantify the value of the information used in the Bayesian inference. The combined use of the Bayesian inference and the entropy is a useful method to propose a cost-effective seismic test for the fragility evaluation. Findings obtained from the seismic PSA are taken into consideration in achieving more reasonable safety design. It should be noted that the findings are strongly affected by the uncertainty. Hence the reduction is necessary of the uncertainty of the contributive equipment from the viewpoint of seismic safety. Specific analysis and test of the contributive equipment is an effective way of reducing the uncertainty.
Kumazawa, Shigeru; Ito, Masashi; ; Numakunai, Takao
Hoken Butsuri, 16(2), p.141 - 144, 1981/00
no abstracts in English
