Affiliations: [a] Structural Integrity Division, University of Dayton
Research Institute, Dayton, OH, USA | [b] NDE Branch, Air Force Research Labs, Dayton, OH,
USA | [c] ME Department, Wright State University, Dayton, OH,
USA
Correspondence:
[*]
Corresponding author: Matthew Cherry, Structural Integrity
Division, University of Dayton Research Institute, 300 College Park, Dayton
Ohio, 45469, OH, USA. Tel.: +1 937 255 1605; Fax: +1 937 255 9804; E-mail:
[email protected]
Abstract: Eddy current detection of flaws in edges presents challenges in
experimental procedures during benchmark studies in the laboratory for model
validation as well as practical implementation of a real world detection
system. These difficulties result in distortions to the signal that mask the
effects from the flawed region itself. Rather than attempting to perfect the
experimental setup, we propose to make the numerical models more robust by
incorporating randomness in the experimental procedure with uncertainty
quantification methods. We present the motivation for the specific method
chosen, the probabilistic collocation method (PCM), and the mathematical
development behind the method, and then present the results from numerical
simulations with a validation measure.
Keywords: Probabilistic, collocation, eddy, current
