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首页> 外文期刊>Annals of nuclear energy >Specific heat capacity model for compacted bentonite buffer materials
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Specific heat capacity model for compacted bentonite buffer materials

机译:压实膨润土缓冲材料的比热容模型

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A geological repository for the disposal of high-level radioactive waste is generally constructed in host rock at depths of 500-1000 m below the ground surface. A geological repository system consists of a disposal canister with packed spent fuel, buffer material, backfill material, and intact rock. The buffer is indispensable for ensuring the disposal safety of high-level radioactive waste, and it inhibits the release of radionuclides and protects the canister from the inflow of groundwater. Because the high temperatures generated in a disposal canister are released to the surrounding buffer material, the thermal properties of the buffer material are very important for determining disposal safety. Although there have been many studies on thermal conductivity, only a few studies have investigated the specific heat capacity of bentonite buffer materials. Therefore, this paper presents a specific heat capacity prediction model considering complex properties for compacted Gyeongju bentonite buffer material, which is a Ca-bentonite produced in Korea. The specific heat capacity of the compacted bentonite buffer material was measured using a dual probe method for varying degrees of saturation and dry densities. Models were suggested based on a regression analysis and an artificial neural network to predict the specific heat capacity of the compacted bentonite buffer material using 39 sets of data obtained by the dual probe method. Models developed by this research are expected to be used as input parameters in the performance assessment of entire disposal system. (C) 2018 Elsevier Ltd. All rights reserved.
机译:通常在地表以下500-1000 m的深度处的宿主岩石中建造用于处置高放射性废物的地质处置库。地质处置库系统由处置罐组成,该处置罐中装有乏燃料,缓冲材料,回填材料和完整的岩石。缓冲液对于确保高放废物的处置安全是必不可少的,它可以抑制放射性核素的释放并保护碳罐免受地下水的流入。由于在处理罐中产生的高温会释放到周围的缓冲材料中,因此缓冲材料的热性能对于确定处理安全性非常重要。尽管已经进行了许多关于导热率的研究,但是只有很少的研究研究了膨润土缓冲材料的比热容。因此,本文提出了一种考虑到复杂特性的压缩热容预测模型,该特性是压实的庆州膨润土缓冲材料(一种韩国生产的钙膨润土)。对于不同程度的饱和度和干密度,使用双探针法测量压实的膨润土缓冲材料的比热容。提出了基于回归分析和人工神经网络的模型,以使用通过双探针法获得的39组数据来预测压实膨润土缓冲材料的比热容。这项研究开发的模型有望用作整个处置系统性能评估的输入参数。 (C)2018 Elsevier Ltd.保留所有权利。

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