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Technical challenges on material and design criteria development for fusion in-vessel components
https://repo.qst.go.jp/records/74714
https://repo.qst.go.jp/records/747143a36d4ad-4519-4446-84bb-7bc4cc64486a
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-03-14 | |||||
タイトル | ||||||
タイトル | Technical challenges on material and design criteria development for fusion in-vessel components | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
谷川, 博康
× 谷川, 博康× Tanigawa, Hiroyasu |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Preparation of irradiation database is essential for the design activity of fusion reactor in-vessel components since it is difficult to suppress the irradiation-induced degradation of material properties within the negligible level. On the other hand, the preparation of irradiation database corresponding to the real fusion in-vessel environment in the level that the existing design codes require for new material is not realistic. This limitation is due to the limited capability of irradiation experiments, and the fusion neutron irradiation environment is not available for the next ten years. The probability-based design method could be a potential alternative approach to evaluating the possibility of components’ failure, where the material property is defined with a probability density function. The statistical analyses of data are required to provide the function, and a case study on as prepared and post-irradiation tensile properties of Japanese reduced activation ferritic/martensitic steel F82H was conducted. It was indicated that the most data show a normal distribution, but post-irradiation elongation data shows a possibility to follow a Weibull distribution. |
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書誌情報 |
Fusion Engineering and Design 巻 133, p. 89-94, 発行日 2018-05 |
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出版者 | ||||||
出版者 | Elsevier | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0920-3796 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.fusengdes.2018.05.047 | |||||
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識別子タイプ | URI | |||||
関連識別子 | https://www.sciencedirect.com/science/article/pii/S0920379618304812 |