Cosmic-ray muon radiography for reactor core observation

被引:13
|
作者
Takamatsu, Kuniyoshi [1 ]
Takegami, Hiroaki [1 ]
Ito, Chikara [2 ]
Suzuki, Keiichi [3 ]
Ohnuma, Hiroshi [3 ]
Hino, Ryutaro [1 ]
Okumura, Tadahiko [4 ,5 ]
机构
[1] Japan Atom Energy Agcy, Nucl Hydrogen & Heat Applicat Res Ctr, Oarai, Ibaraki 3111393, Japan
[2] Japan Atom Energy Agcy, O Arai Res & Dev Ctr, Oarai, Ibaraki 3111393, Japan
[3] Kawasaki Geol Engn Co Ltd, Minato Ku, Tokyo 1088337, Japan
[4] Engn Adv Assoc Japan, Minato Ku, Tokyo 1050001, Japan
[5] Energy Soc Japan, Minato Ku, Tokyo 1050004, Japan
关键词
Muon; Radiography; Nuclear reactor; HTTR; Fukushima Daiichi; Nondestructive inspection;
D O I
10.1016/j.anucene.2014.12.017
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
One of the critical problems that have arisen from the accident at TEPCO's Fukushima Daiichi nuclear power plant is the removal of fuel debris. For solving this problem, an examination of the internal reactors has been planned to identify the fuel debris. However, the high radiation dose around the reactors has necessitated the development of a remote sensing method that would enable observation of the internal reactors from the outside. In our study, we focused on a nondestructive inspection method by which cosmic-ray muons could be used to observe the internal reactor from outside the reactor pressure vessel (RPV) and containment vessel (CV). We conducted an observation test on the high-temperature engineering test reactor (HTTR) at the Japan Atomic Energy Agency to evaluate the applicability of the method to the internal visualization of a reactor. We also analytically evaluated the resolution of existing muon telescopes to assess their suitability for the HTTR observation, and were able to detect the major structures of the HTTR based on the distribution of the surface densities calculated from the coincidences measured by the telescopes. Our findings suggested that existing muon telescopes could be used for muon observation of the internal reactor from outside the RPV and CV. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:166 / 175
页数:10
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