論文

査読有り 筆頭著者
2015年5月

Development of fast reactor containment safety analysis code, CONTAIN-LMR : (3) Improvement of sodium-concrete reaction model

The Proceedings of the International Conference on Nuclear Engineering (ICONE23)
  • Munemichi Kawaguchi
  • ,
  • Daisuke Doi
  • ,
  • Hiroshi Seino
  • ,
  • Shinya Miyahara

ICONE23-1588
0
開始ページ
ICONE23-1
終了ページ
ICONE23-6
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1299/jsmeicone.2015.23._ICONE23-1_277
出版者・発行元
一般社団法人日本機械学会

A computer code, CONTAIN-LMR, is an integrated analysis tool to predict the consequence of severe accident in a liquid metal fast reactor. Because a sodium-concrete reaction behavior is one of the most important phenomena in the accident, a Sodium-Limestone Concrete Ablation Model (SLAM) has been developed and installed into the original CONTAIN code at Sandia National Laboratories (SNL) in the U.S. The SLAM treats chemical reaction kinetics between the sodium and the concrete compositions mechanistically using a three-region model, containing a pool (sodium and reaction debris) region, a dry (boundary layer (B/L) and dehydrated concrete) region, and a wet (hydrated concrete) region, the application is limited to the reaction between sodium and limestone concrete. In order to apply SLAM to the reaction between sodium and siliceous concrete which is an ordinary structural concrete in Japan, the chemical reaction kinetics model has been improved to consider the new chemical reactions between sodium and silicon dioxide. The improved model was validated to analyze a series of sodium-concrete experiments which were conducted in Japan Atomic Energy Agency (JAEA). It has been found that relatively good agreement between calculation and experimental results is obtained and the CONTAIN-LMR code has been validated with regard to the sodium-concrete reaction phenomena.

リンク情報
DOI
https://doi.org/10.1299/jsmeicone.2015.23._ICONE23-1_277
CiNii Articles
http://ci.nii.ac.jp/naid/110010046360
CiNii Books
http://ci.nii.ac.jp/ncid/AA1190311X
ID情報
  • DOI : 10.1299/jsmeicone.2015.23._ICONE23-1_277
  • CiNii Articles ID : 110010046360
  • CiNii Books ID : AA1190311X
  • identifiers.cinii_nr_id : 9000392386930

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