首页> 外文会议>10th International Conference on Nuclear Engineering, Vol.1, Apr 14-18, 2002, Arlington, Virginia >NDE PERFORMANCE (POD) CURVES FOR FATIGUE CRACKS IN PIPING BASED ON INDUSTRY PERFORMANCE DEMONSTRATION DATA
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NDE PERFORMANCE (POD) CURVES FOR FATIGUE CRACKS IN PIPING BASED ON INDUSTRY PERFORMANCE DEMONSTRATION DATA

机译:基于行业绩效演示数据的管道疲劳裂纹的NDE性能(POD)曲线

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This paper evaluates non-destructive examination (NDE) detection capabilities of fatigue cracks in piping. Industry performance demonstration initiative (PDI) data for fatigue crack detection were used to develop a matrix of statistically based probability of detection (POD) curves that consider various NDE performance factors. Seven primary performance factors were identified - Material, Crack Geometry/Type, NDE Examination Access, NDE Procedure, Examiner Qualification, Pipe Diameter, and Pipe Wall Thickness. A database of 16,181 NDE performance observations, with 18 fields associated with each observation, was created and used to develop statistically based POD curves for 42 stainless steel and 14 carbon steel performance cases. Subsequent comparisons of the POD fits for each of the cases showed that excellent NDE performance for fatigue cracks can be expected for ferritic materials. Very little difference was observed between the POD curves for the 14 carbon steel performance cases considered in this study and NDE performance could therefore be represented by a single POD curve. For stainless steel, very good performance can also be expected for circumferential cracks located on the same side of the weld from which the NDE examination is made. POD depended primarily on component thickness. Three POD curves for stainless steel were prepared. Best estimate and the associated 95% confidence bounds POD verses through-wall depth logistic regression digital data are provided. Probabilistic fracture mechanics (PFM) calculations were performed to compare best estimate leak probabilities obtained from both the new performance-based POD curves and previous PFM models. This work was performed under joint funding by EPRI and the U.S. Department of Energy (DOE), Office of Nuclear Energy Science and Technology's Nuclear Energy Plant Optimization (NEPO) program.
机译:本文评估了管道疲劳裂纹的无损检测(NDE)检测能力。用于疲劳裂纹检测的行业性能演示计划(PDI)数据用于建立考虑各种NDE性能因素的基于统计的检测概率(POD)曲线矩阵。确定了七个主要性能因素-材料,裂纹几何形状/类型,NDE检验通道,NDE程序,检查员资格,管径和管壁厚度。创建了一个包含16,181个NDE性能观测值的数据库,每个观测值都有18个字段,并用于为42个不锈钢和14个碳钢性能实例建立基于统计的POD曲线。随后对每种情况下POD拟合的比较表明,可以预期铁素体材料在疲劳裂纹方面具有出色的NDE性能。在本研究中考虑的14个碳钢性能案例的POD曲线之间观察到的差异很小,因此NDE性能可以用一条POD曲线表示。对于不锈钢,对于进行NDE检查的焊缝同一侧的圆周裂纹,也有望获得非常好的性能。 POD主要取决于组件的厚度。绘制了不锈钢的三个POD曲线。提供了最佳估计值和相关的95%置信区间POD与墙深度Logistic回归数字数据的对比。进行了概率断裂力学(PFM)计算,以比较从新的基于性能的POD曲线和以前的PFM模型获得的最佳估计泄漏概率。这项工作是在EPRI和美国能源部(DOE),核能科学技术办事处的核能工厂优化(NEPO)计划的共同资助下完成的。

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