核电厂多室火灾动力学模拟器火灾模型不确定性评估

Ho-Sik Han, Cheol-Hong Hwang, Sang Kyu Lee, Jai Ho Lee
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引用次数: 3

摘要

为了保证火灾风险评估的准确性,必须考虑火灾模型的不确定性。最近,nuregg -1824报告了基于340个全尺寸火灾实验结果的火灾模型不确定性数据。然而,当将模型的统计不确定性应用于具体的火灾风险评估时,可能会得到一些不准确的测试结果。本研究基于PRISME3火灾实验结果,对火灾模型fire Dynamics Simulator (FDS)的不确定性进行了研究。对近200个地点的测量结果和预测结果进行了比较和分析,并利用偏差因子和相对标准差计算了定量模型的不确定性。结果表明,虽然基于NUREG-1824试验结果计算的热流密度FDS偏系数为0.89,但本研究结果为1.18,差异显著。虽然对相同火灾实验结果的模型不确定度进行了审查,但根据测量位置的不同,模型不确定度的最大差异为12%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of Fire Model Uncertainty of Fire Dynamics Simulator in Multiple Compartments of Nuclear Power Plant
It is necessary to consider the uncertainty of a fire model to ensure accuracy in fire risk assessment. Recently, NUREG-1824 reported fire model uncertainty data based on 340 full-scale fire experiment results. However, somewhat inaccurate test results can be obtained when the statistical uncertainty of the model is applied to specific fire risk assessments. In this study, the uncertainty of the fire model, Fire Dynamics Simulator (FDS), was investigated based on PRISME3 fire experiment results. Measurement and prediction results for approximately 200 locations were compared and analyzed, and the quantitative model uncertainty was calculated using the bias factor and relative standard deviation. The results showed that although the computed FDS bias factor of the heat flux based on NUREG-1824 test results was 0.89, 1.18 was obtained in this study, indicating a significant difference. Although the model uncertainties for the same fire experiment results were reviewed, a maximum difference of 12% in model uncertainty was observed, depending on the measurement location.
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