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ITER事故源项评估数据

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国家基础学科公共科学数据中心2024-03-05 收录
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资源简介:
联合法国辐射防护与核安全研究院IRSN,选取了ITER装置的放射性粉尘爆炸事故,利用ASTEC模拟程序开展事故放射性源项一体化评估,并与同一事故工况的MELCOR计算结果进行对比分析(见ITER_D_2E2XAM v4.9)。事故的始发事件是ITER真空室VV与窗口单元PortCell的贯穿件的屏蔽功能失效,致使空气进入真空室,进而使得真空室内的放射性粉尘源项,包括150kg的铍粉尘和850kg的钨粉尘,与空气和氚发生混合进而引发爆炸,进一步破坏真空室的完整性。该事故同时假设72小时内场外电源丧失,因此冷却系统的主泵停转。根据事故进程和各系统参数,编制ASTEC输入文件,进而利用CPA模块来开展热工流体计算,利用SOPHAERO模块来开展放射性粉尘和氚的输运计算,计算结果与ITER报告中的MELCOR结果进行比对。产生的数据包括:ASTEC计算输入文件,计算结果文件。

In collaboration with the Institut de Radioprotection et de Sûreté Nucléaire (IRSN), France, this study selected the radioactive dust explosion accident of the ITER device, conducted a comprehensive assessment of the accident's radioactive source term using the ASTEC simulation code, and performed a comparative analysis with the MELCOR calculation results under the same accident scenario (see ITER_D_2E2XAM v4.9). The initiating event of this accident is the loss of shielding function of the penetration between the ITER vacuum vessel (VV) and the PortCell (window unit), which allows air to enter the vacuum chamber. As a result, the radioactive source term in the vacuum chamber, including 150 kg of beryllium dust and 850 kg of tungsten dust, mixes with air and tritium, triggering an explosion that further compromises the integrity of the vacuum vessel. This accident also assumes a loss of off-site power within 72 hours, leading to the shutdown of the main pumps of the cooling system. Based on the accident progression and various system parameters, ASTEC input files were compiled. Subsequently, the CPA module was used for thermal-hydraulic calculations, and the SOPHAERO module was employed for transport calculations of radioactive dust and tritium. The calculation results were compared with the MELCOR results reported in the ITER documentation. The generated datasets include: ASTEC calculation input files and calculation result files.
提供机构:
中国科学院合肥物质科学研究院
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集聚焦于ITER(国际热核聚变实验堆)的放射性粉尘爆炸事故源项评估,利用ASTEC模拟程序进行热工流体和放射性输运计算,并与MELCOR结果对比分析。数据集包含ASTEC输入和输出文件,旨在支持核安全领域的事故分析和风险评估,数据量约181.29MB,共74个文件,来源于国家重点研发计划项目。
以上内容由遇见数据集搜集并总结生成
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