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Case study of model-assisted probability of detection (MAPOD) evaluation for manual ultrasonic inspection of fastener sites for fatigue cracks

Authors: John C. Aldrin (Computational Tools) , David S. Forsyth (TRI/Austin) , Eric A. Lindgren (Air Force Research Laboratory)

Abstract

This work investigates the application of model-assisted probability of detection (MAPOD) capability evaluation for manual ultrasonic inspection. Forward models are used to generate data that is incorporated into fast surrogate models for Monte Carlo simulations. Example evaluations highlight the value of the process to quickly assess performance sensitivity relative to varying inspection assumptions.

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How to Cite: Aldrin, J. C. , Forsyth, D. S. & Lindgren, E. A. (2019) “Case study of model-assisted probability of detection (MAPOD) evaluation for manual ultrasonic inspection of fastener sites for fatigue cracks”, Review of Progress in Quantitative Nondestructive Evaluation.(0).