Campus Units

Aerospace Engineering, Center for Nondestructive Evaluation (CNDE)

Document Type

Conference Proceeding

Conference

43rd Annual Review of Progress in Quantitative Nondestructive Evaluation

Publication Version

Published Version

Publication Date

2-16-2017

Journal or Book Title

AIP Conference Proceedings

Volume

1806

Issue

1

First Page

150002

DOI

10.1063/1.4974726

Conference Title

43rd Annual Review of Progress in Quantitative Nondestructive Evaluation

Conference Date

July 17-22, 2016

City

Atlanta, GA

Abstract

Ultrasonic testing (UT) is used to detect internal flaws in materials and to characterize material properties. In many applications, computational simulations are an important part of the inspection-design and analysis processes. Having fast surrogate models for UT simulations is key for enabling efficient inverse analysis and model-assisted probability of detection (MAPOD). In many cases, it is impractical to perform the aforementioned tasks in a timely manner using current simulation models directly. Fast surrogate models can make these processes computationally tractable. This paper presents investigations of using surrogate modeling techniques to create fast approximate models of UT simulator responses. In particular, we propose to integrate data-driven methods (here, kriging interpolation with variable-fidelity models to construct an accurate and fast surrogate model. These techniques are investigated using test cases involving UT simulations of solid components immersed in a water bath during the inspection process. We will apply the full ultrasonic solver and the surrogate model to the detection and characterization of the flaw. The methods will be compared in terms of quality of the responses.

Comments

This proceeding may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This proceeding appeared in Du, Xiaosong, Robert Grandin, and Leifur Leifsson. "Surrogate modeling of ultrasonic simulations using data-driven methods." AIP Conference Proceedings 1806, no. 1 (2017): 150002, and may be found at DOI: 10.1063/1.4974726. Posted with permission.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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Article Location

 
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