کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8069483 1521135 2014 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of debris bed self-leveling behavior: A simple empirical approach and its validations
ترجمه فارسی عنوان
ارزیابی رفتار خودسنجی بستر باقی مانده: یک رویکرد تجربی ساده و اعتبار سنجی آن
کلمات کلیدی
راکتور سریع سدیم خنک، تصادف متلاشی کننده هسته، خود تسطیح، بستر بقایای، رویکرد تجربی، اعتبار مدل،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
During a hypothetical core-disruptive accident (CDA) in a sodium-cooled fast reactor (SFR), degraded core materials can form roughly conically-shaped debris beds over the core-support structure and/or in the lower inlet plenum of the reactor vessel from rapid quenching and fragmentation of core material pool. However, coolant boiling may lead ultimately to leveling of the debris bed that is crucial to the relocation of molten core and heat-removal capability of debris bed. To clarify the mechanisms underlying this self-leveling behavior, several series of experiments were elaborately designed and conducted in recent years under the collaboration between Japan Atomic Energy Agency (JAEA) and Kyushu University (Japan). Based on the experimental observations and quantitative data obtained (mainly the time variation of bed inclination angle), a simple empirical approach to predict the self-leveling development depending on particle size, particle density and gas velocity was proposed. To confirm the rationality and wide applicability of this approach, over the past few years extensive efforts have been made by performing modeling investigations against a large number of experimental data covering various conditions, including difference in bubbling mode, bed geometry and range of experimental parameters. The present contribution synthesizes these efforts and gives detailed comparative analyses of the performed validations, thus, providing some insight for a better understanding of CDAs and improved verifications of computer models developed in advanced fast reactor safety analysis codes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Annals of Nuclear Energy - Volume 63, January 2014, Pages 188-198
نویسندگان
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