Leifur Leifsson

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META-MAPOD: Open-Source Framework for Metamodel-Assisted Probability of Detection. Abstract: The practice of determining the probability of defect detection for a NDE inspection through use of computational measurement simulation, so-called model-assisted probability of detection (MAPOD), is recognized for its potential cost savings and improved accuracy. Measurement simulation covering the full range of possible input parameters most often represents a prohibitively large computational task, particularly when using rigorous high-accuracy numerical simulation of the measurement physics. Metamodels (also called surrogate models) can be used in lieu of the rigorous computational physics models to improve the efficiency of the MAPOD analysis. The metamodels are derived from results obtained by running the rigorous simulations for a substantially smaller, judiciously chosen parameter matrix. The accurate yet computationally efficient approximation of simulation results enables the full exploration of the parameter space in evaluating the POD. In this talk, an open-source framework for efficient metamodel-based MAPOD analysis will be described. Specifically, the theory, structure and capabilities of the framework will be presented, and results of applications to several analytical and MAPOD examples will be given.

industrial-machinerypower-utilitiesaviation-aerospace

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Speaking history

ASME Turbomachinery Technical Conference & Exposition

15 June 2026 Milan, Italy “META-MAPOD: Open-source framework for metamodel-assisted probability of detection”

Topics this speaker covers

industrial-machinerypower-utilitiesaviation-aerospace

Sectors

manufacturing_industrial

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