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HIGH WIND PRA FAILURE CALCULATIONS, ERROR ESTIMATES, AND USE OF CAFTA

机译:高风PRA故障计算,误差估计和CAFTA的使用

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Quantification of the top event in HW (High Wind) Probabilistic Risk Assessments (PRAs) involves thousands of computations of component and system failures with thousands of cutsets. The computation of component failure frequency from hazard and fragility curves is fundamental to HW plant response quantification. This paper examines failure frequency calculations using wind hazard and fragility functions. Multiple issues are investigated, including: (1) the number of wind speed intervals needed for accurate computation of component failures; (2) the wind speed range needed to accurately compute failure frequencies; (3) the differences in the computed failure frequency from the derived mean curve vs. its family of curves; (4) the tradeoffs in modeling single vs. multiple wind hazards; and, (5) the range of error bounds for perfectly positively and perfectly negatively correlated failure modes compared to statistically independent modes. We found many sources of potential errors, mostly ones of over estimation of failure frequency. Additional work is needed in HW modeling in order to develop improved understanding of HW PRA failure quantification.
机译:在HW(高风)概率风险评估(PRAS)中的量化涉及数千个组件和系统故障计算,具有数千个剪切。从危险和脆弱曲线计算组件失效频率是HW工厂响应量化的基础。本文使用风危害和脆弱功能检查了故障频率计算。调查了多个问题,包括:(1)准确计算组件故障所需的风速间隔数; (2)准确计算故障频率所需的风速范围; (3)从派生平均曲线与其曲线家族的计算失败频率的差异; (4)单一与造型的权衡与多种风危险;并且(5)与统计独立模式相比,与误差和完全带有完全消极的失效模式的误差范围。我们发现了许多潜在错误的来源,大多数在失效频率的估计中。 HW建模需要额外的工作,以便改善对HW PRA故障量化的了解。

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