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清华大学学报(自然科学版)  2022, Vol. 62 Issue (10): 1675-1680    DOI: 10.16511/j.cnki.qhdxxb.2021.25.030
  核能与新能源技术 本期目录 | 过刊浏览 | 高级检索 |
AGR全堆芯石墨构件原位多维度损伤探查方法
曾天辰, 孙跃文, 赵中玮, 丛鹏
清华大学 核能与新能源技术研究院, 北京 100084
In-situ multi-scale damage detection of AGR full core graphite components
ZENG Tianchen, SUN Yuewen, ZHAO Zhongwei, CONG Peng
Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
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摘要 改进型气冷反应堆 (advanced gas-cooled reactor, AGR)作为二代堆型,在英国大量装备,目前已经进入设计寿期末期,能否顺利延寿,很大程度上取决于作为堆芯支撑和慢化作用的石墨构件的结构完整性。针对 "全堆芯石墨构件原位多维度损伤探查"这一技术挑战,该文采用迭代图像重建算法(simultaneous algebraic reconstruction technique, SART)对直线计算机断层成像(computed tomography, CT)检测方案进行模拟计算。基于已知的堆内环境和石墨构件的几何参数建立模型,探究了堆内背景辐射场对直线CT成像检测的影响,模拟了对石墨构件内部裂纹以及质量损失缺陷的检测和重建。估算结果证明该方案具备一定可行性,能为延长AGR堆延寿提供重要的参考数据。
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曾天辰
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赵中玮
丛鹏
关键词 AGR反应堆石墨构件直线CT    
Abstract:The advanced gas-cooled reactor (AGR) was developed in the UK and is now approaching the end of its design life.Extensions of the design life mainly depend on the structural integrity of the graphite components used for core support and moderation.This study used the simultaneous algebraic reconstruction technique (SART) to simulate the linear computed tomography (CT) imaging detection scheme.The model was used to explore the influence of the background radiation in the reactor on the linear CT imaging detection and to simulated the detection and reconstruction of internal cracks and quality loss defects in the graphite components based on the known internal environment and geometric parameters of the graphite components.The predictions show that the scheme can provide important reference data for extending the life of the AGR.
Key wordsadvanced gas-cooled reactor (AGR)    graphite components    linear computed tomography
收稿日期: 2020-12-30      出版日期: 2022-09-03
基金资助:丛鹏,研究员,E-mail:congp@mail.tsinghua.edu.cn
引用本文:   
曾天辰, 孙跃文, 赵中玮, 丛鹏. AGR全堆芯石墨构件原位多维度损伤探查方法[J]. 清华大学学报(自然科学版), 2022, 62(10): 1675-1680.
ZENG Tianchen, SUN Yuewen, ZHAO Zhongwei, CONG Peng. In-situ multi-scale damage detection of AGR full core graphite components. Journal of Tsinghua University(Science and Technology), 2022, 62(10): 1675-1680.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2021.25.030  或          http://jst.tsinghuajournals.com/CN/Y2022/V62/I10/1675
  
  
  
  
  
  
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[1] 刘仁杰, 孙跃文, 刘锡明, 苗积臣, 周立业, 丛鹏. 基于螺旋CT的高温气冷堆石墨构件及碳砖缺陷检测方法[J]. 清华大学学报(自然科学版), 2021, 61(4): 367-376.
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