CIVA Modelling Module for Zonal Discrimination Method Part 2-System Qualification Aspects

Edward Ginzel, David Stewart
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Abstract

Automatic Ultrasonic Testing (AUT) systems for pipeline girth weld inspections are usually subjected to a qualification process. This process consists of assessment of performance capabilities including detection, sizing, temperature range and repeatability. One of the most demanding qualification programmes is described in DNV ST-F101 Appendix E [1]. With the introduction of the AUT module in the 2023 edition of CIVA simulation software, the incorporation of metamodeling allows users to predict detection reliability via probability of detection (POD) and sizing accuracy of the zonal discrimination method (ZDM) using amplitude apportioning. Part 1 of this project demonstrated the ability of CIVA to simulate the calibration block and strip chart output. In Part 2 we illustrate the techniques that can be used to predict POD and sizing accuracy as might be done in a system qualification. Results compare well to field data.
分区判别法 CIVA 建模模块第 2 部分--系统鉴定方面
用于管道环缝检测的自动超声波检测(AUT)系统通常需要经过鉴定程序。这一过程包括对性能的评估,包括检测、尺寸、温度范围和可重复性。DNV ST-F101 附录 E [1]描述了最严格的鉴定程序之一。随着 2023 版 CIVA 仿真软件中 AUT 模块的引入,元模型的结合使用户能够通过检测概率 (POD) 预测检测可靠性,并利用振幅分摊法 (ZDM) 预测分区判别法 (ZDM) 的尺寸精度。本项目的第一部分展示了 CIVA 模拟校准块和带状图输出的能力。在第 2 部分中,我们说明了可用于预测 POD 和尺寸精度的技术,就像在系统鉴定中可能要做的那样。结果与现场数据对比良好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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