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Model assisted qualification of NDE techniques

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication43rd Annual Review of Progress in Quantitative Nondestructive Evaluation
Publisher or commissioning bodyAmerican Institute of Physics (AIP)
Number of pages7
Volume36
ISBN (Electronic)9780735414747
DOIs
DateAccepted/In press - 17 Jul 2016
DatePublished (current) - 16 Feb 2017
Event43rd Annual Review of Progress in Quantitative Nondestructive Evaluation - Georgia Tech Hotel & Conference Center, Atlanta, United States
Duration: 17 Jul 201622 Jul 2016
Conference number: 43
https://www.qndeprograms.org/

Publication series

NameAIP Conference Proceedings
PublisherAIP Publishing
Volume1806
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference43rd Annual Review of Progress in Quantitative Nondestructive Evaluation
Abbreviated titleQNDE 2016
CountryUnited States
CityAtlanta
Period17/07/1622/07/16
Internet address

Abstract

The costly and time consuming nature of empirical trials typically performed for NDE technique qualification is a major barrier to the introduction of NDE techniques into service. The use of computational models has been proposed as a method by which the process of qualification can be accelerated. However, given the number of possible parameters present in an inspection, the number of combinations of parameter values scales to a power law and running simulations at all of these points rapidly becomes infeasible. Given that many NDE inspections result in a single valued scalar quantity, such as a phase or amplitude, using suitable sampling and interpolation methods significantly reduces the number of simulations that have to be performed. This paper presents initial results of applying Latin Hypercube Designs and M ultivariate Adaptive Regression Splines to the inspection of a fastener hole using an oblique ultrasonic shear wave inspection. It is demonstrated that an accurate mapping of the response of the inspection for the variations considered can be achieved by sampling only a small percentage of the parameter space of variations and that the required percentage decreases as the number of parameters and the number of possible sample points increases. It is then shown how the outcome of this process can be used to assess the reliability of the inspection through commonly used metrics such as probability of detection, thereby providing an alternative methodology to the current practice of performing empirical probability of detection trials.

Event

43rd Annual Review of Progress in Quantitative Nondestructive Evaluation

Abbreviated titleQNDE 2016
Conference number43
Duration17 Jul 201622 Jul 2016
Location of eventGeorgia Tech Hotel & Conference Center
CityAtlanta
CountryUnited States
Web address (URL)
Degree of recognitionInternational event
SponsorsQNDE Programs (External organisation)

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via AIP at http://aip.scitation.org/doi/abs/10.1063/1.4974720. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 549 KB, PDF-document

DOI

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