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文章编号： 1672-6987（2020）01-0081-06； DOI： 10.16351/j.1672-6987.2020.01.012
孟思琪， 凌元锦*
(青岛科技大学 环境与安全工程学院，山东 青岛 266042)
摘要： 通过计算检出概率(POD)评价了超声波无损检测对于检测奥氏体不锈钢焊缝中裂缝缺陷的可靠性；使用了基于有限元方法（FEM）的ComWAVE软件构建了三维仿真模型模拟检测过程并获取分析数据；采用了基于R语言的计算程序进行数据处理，得到了仅考虑缺陷深度的单参数POD曲线，曲线结果表明：在本假设的条件下，当奥氏体不锈钢焊缝中缺陷的深度超过1.314 8 mm时，该缺陷能用超声波无损检测方法检测出来的概率是90%；在此基础上，确定了可靠性分析时考虑缺陷长度的必要性，进一步运用了两参数POD曲线研究了超声波无损检测在不同缺陷深度与长度下的可靠性。
关键词： 超声波无损检测； 有限元法； 检出概率POD
中图分类号： TQ 328文献标志码： A
引用格式： 孟思琪， 凌元锦. 基于数值模拟的超声波无损检测奥氏体不锈钢焊缝中裂缝缺陷可靠性研究\[J\]. 青岛科技大学学报（自然科学版）， 2020， 41（1）： 81-86.
MENG Siqi, LING Yuanjin. Research on reliability of ultrasonic nondestructive testing for crack defects in austenitic stainless steel welds based on numerical simulation\[J\]. Journal of Qingdao University of Science and Technology（Natural Science Edition), 2020， 41（1）： 81-86.
Research on Reliability of Ultrasonic Nondestructive Testing for Crack Defects in
Austenitic Stainless Steel Welds Based on Numerical SimulationMENG Siqi, LING Yuanjin
（College of Environment and Safety Engineering, Qingdao University of Science and Technology, Qingdao 266042, China)Abstract: In this paper, the reliability of ultrasonic nondestructive testing for detecting crack defects in austenitic stainless steel welds is evaluated by calculating the probability of detection (POD). The ComWAVE software based on finite element method (FEM) is used to construct the 3D simulation model to simulate the detection process and obtain the analysis data. The R-based calculation program is used for data processing, and a single-parameter POD curve considering only the defect depth is obtained. The curve results show that under the conditions assumed in this paper, when the depth of defects in the austenitic stainless steel weld exceeds 1.314 8 mm, the probability that the defect can be detected by ultrasonic non-destructive testing is 90%. Furthermore, the necessity of considering the defect length in the reliability analysis was determined, and the multi-parameter POD curve was further used to study the reliability of ultrasonic non-destructive testing under different defect depths and lengths.
Key words: ultrasonic nondestructive testing； FEM； probability of detection
收稿日期： 2019-01-06
基金项目： 山东省重点研发计划项目（2017GSF20104）.
作者简介： 孟思琪（1993—），女，硕士研究生.*通信联系人.
