Leifur Leifsson | CNDE


Leifur Leifsson, Robert Grandin, Ron Roberts, Jiming Song, William Meeker



Award Title: 

Efficient Multi-Parameter Model-Assisted Probability of Detection Using Physics-Based Simulations and Stochastic Surrogates

Award Amount:


Award Period Date:

May 16, 2017 – May 15, 2020





The objective of the proposed work is to advance the state-of-the-art in model-assisted probability of detection (MAPOD) through use of fast stochastic surrogate models for physics-based measurement simulations. The practice of determining the probability of defect detection for a nondestructive evaluation (NDE) inspection through use of computational measurement simulation is recognized for its potential cost savings and improved accuracy. However, 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. The proposed work will develop and demonstrate fast surrogate model use in MAPOD determination using representative ultrasound and eddy current NDE measurement configurations.