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Volume 43 Issue 5
Oct.  2022
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Huang Jieqing, Wu Xiaotian, Wen Liang, Peng Yue. Research on Calculation Method of Containment Spray Coverage Rate Based on Monte Carlo Simulation Method[J]. Nuclear Power Engineering, 2022, 43(5): 176-180. doi: 10.13832/j.jnpe.2022.05.0176
Citation: Huang Jieqing, Wu Xiaotian, Wen Liang, Peng Yue. Research on Calculation Method of Containment Spray Coverage Rate Based on Monte Carlo Simulation Method[J]. Nuclear Power Engineering, 2022, 43(5): 176-180. doi: 10.13832/j.jnpe.2022.05.0176

Research on Calculation Method of Containment Spray Coverage Rate Based on Monte Carlo Simulation Method

doi: 10.13832/j.jnpe.2022.05.0176
  • Received Date: 2021-09-13
  • Accepted Date: 2021-11-26
  • Rev Recd Date: 2021-10-14
  • Publish Date: 2022-10-12
  • In order to establish a reliable and fast calculation method of containment spray coverage rate, and provide a new auxiliary means for the design and research of the containment spray system, the calculation model of containment spray coverage rate based on Monte Carlo simulation is established in this study by using the method of theoretical analysis. Compared with the calculation results of containment spray coverage rate based on computer aided design (CAD), the applicability of Monte Carlo spray coverage rate calculation method is verified. The results show that the calculation errors of the two methods are within 1%.Therefore, the calculation method of containment spray coverage rate based on Monte Carlo simulation method is reliable and widely applicable. Compared with the spray coverage rate calculation method based on computer aided design (CAD) software, the new method has faster calculation speed and lower human error rate, which is conducive to sensitivity analysis and can greatly improve the design capacity of the containment spray system.

     

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  • [1]
    吴义纯,丁明. 基于蒙特卡罗仿真的风力发电系统可靠性评价[J]. 电力自动化设备,2004, 24(12): 70-73. doi: 10.3969/j.issn.1006-6047.2004.12.021
    [2]
    孙海虹,叶晓甦. 基于蒙特卡罗模拟技术的工程造价风险因素分析[J]. 重庆建筑大学学报,2005, 27(6): 121-126.
    [3]
    玉宇,童节娟,赵军,等. 应用蒙特卡罗方法模拟核电厂丧失设备冷却水系统始发事件的频率[J]. 核动力工程,2010, 31(4): 57-60.
    [4]
    广东核电培训中心. 900MW压水堆核电站系统与设备(上册)[M]. 北京: 原子能出版社, 2005: 91-95.
    [5]
    尹增谦,管景峰,张晓宏,等. 蒙特卡罗方法及应用[J]. 物理与工程,2002, 12(3): 45-49. doi: 10.3969/j.issn.1009-7104.2002.03.014
    [6]
    王中伟. 用EXCEL实现工程项目的蒙特卡洛模拟分析[J]. 广东交通职业技术学院学报,2005, 4(1): 101-103. doi: 10.3969/j.issn.1671-8496.2005.01.031
    [7]
    张建中. 蒙特卡洛方法(I)[J]. 数学的实践与认识,1974, 1(1): 28-40.
    [8]
    DURRETT R. Probability: theory and examples[M]. 4th ed. Cambridge: Cambridge University Press, 2010: 76-81.
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