基于组成元素的燃料碎片剂量率预测方法

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Advanced Simulation in Science and Engineering Pub Date : 2021-01-01 DOI:10.15748/JASSE.8.73

K. Terashima, K. Okumura

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引用次数: 3

摘要

． 2021年，计划开始对福岛第一核电站进行燃料碎片取样，这是逐步进行的过程的一部分。应预测燃料碎片的剂量率，以便对燃料碎片进行安全处理。然而，各种元素混合在燃料碎片中，因此预测剂量率将是具有挑战性的。因此，我们对燃料碎片大小、组成和密度等参数发生显著变化的情况进行了大量蒙特卡罗辐射输运模拟。因此，我们得到了一个简单的解析式，可以用最少的参数数来预测剂量率。

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A Prediction Method for the Dose Rate of Fuel Debris Depending on the Constituent Elements

. In 2021, fuel debris samplings are planned to start as part of a step-by-step process at the Fukushima Daiichi nuclear power station. The dose rate of the fuel debris for safety treatments of the fuel debris should be predicted. However, various elements are mixed in the fuel debris, and thus predicting the dose rate will be challenging. Therefore, we conducted a large number of Monte Carlo radiation transport simulations for cases where parameters such as fuel debris size, composition, and density were significantly changed. Consequently, we obtained a simple and analytical formula that can predict the dose rate using a minimum number of parameters.

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Journal of Advanced Simulation in Science and Engineering ENGINEERING, MULTIDISCIPLINARY-

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