Model Assisted Probability of Detection Curves: New Statistical Tools and Progressive Methodology

详细信息    查看全文

• 作者：Loïc Le Gratiet ; Bertrand Iooss ; Géraud Blatman…
• 关键词：Non destructive testing ; Eddy ; current ; Computer experiments ; Uncertainty ; Sensitivity analysis ; Kriging
• 刊名：Journal of Nondestructive Evaluation
• 出版年：2017
• 出版时间：March 2017
• 年：2017
• 卷：36
• 期：1
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Structural Mechanics; Characterization and Evaluation of Materials; Vibration, Dynamical Systems, Control; Classical Mechanics;
• 出版者：Springer US
• ISSN：1573-4862
• 卷排序：36

文摘

The probability of detection curve is a standard tool in several industries to evaluate the performance of non destructive testing (NDT) procedures for the detection of harmful defects for the inspected structure. Due to new capabilities of NDT process numerical simulation, model assisted probability of detection (MAPOD) approaches have also been recently developed. In this paper, a generic and progressive MAPOD methodology is proposed. Limits and assumptions of the classical methods are enlightened, while new metamodel-based methods are proposed. They allow to access to relevant information based on sensitivity analysis of MAPOD inputs. Applications are performed on eddy current non destructive examination numerical data.