利用在役超声检测数据识别钝性缺陷的方法

M. Jyrkama, M. Pandey, M. Li
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引用次数: 0

摘要

本文提出了一种方法来识别钝缺陷的管道使用在役数据从超声波检测工具。该方法适用于从预定的检测网格或直接从手链或阵列型检测工具获得的数据。通过计算克里格插值壁厚剖面中每个点的三维斜率向量(即大小和方向)来识别缺陷边缘和尺寸。然后使用搜索算法从较陡的斜坡过渡到相对平坦的轮廓,以确定缺陷边缘。将该方法应用于CANDU核反应堆给料管道的缺陷评估。结果表明,该方法除了可以识别钝性缺陷外,还为结构完整性评估提供了一种方便的缺陷尺寸表征方法。结果的不确定度主要归因于与检测数据相关的信号损失和覆盖误差。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodology for Identifying Blunt Flaws Using Ultrasonic In-Service Inspection Data
This paper presents a methodology for identifying blunt flaws in piping using in-service data from ultrasonic inspection tools. The method is applicable to data obtained from predetermined inspection grids, or directly from bracelet or array type inspection tools. The flaw edge and size are identified by calculating the three-dimensional slope vector (i.e., magnitude and direction) of each point in the kriging interpolated wall thickness profile. The transition from a steeper slope to a relatively flat profile is then used by a search algorithm to determine the flaw edge. The method is applied to the flaw assessment of feeder piping in CANDU nuclear reactors. The results show that in addition to identifying blunt flaws, the developed methodology also provides a convenient way for characterizing the flaw dimensions for structural integrity assessment. The uncertainty in the results is mainly attributed to the signal loss and coverage error associated with the inspection data.
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