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Proceedings Paper

Local numerical modelling of ultrasonic guided waves in linear and nonlinear media
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Paper Abstract

Nonlinear ultrasonic techniques provide improved damage sensitivity compared to linear approaches. The combination of attractive properties of guided waves, such as Lamb waves, with unique features of higher harmonic generation provides great potential for characterization of incipient damage, particularly in plate-like structures. Nonlinear ultrasonic structural health monitoring techniques use interrogation signals at frequencies other than the excitation frequency to detect changes in structural integrity. Signal processing techniques used in non-destructive evaluation are frequently supported by modeling and numerical simulations in order to facilitate problem solution. This paper discusses known and newly-developed local computational strategies for simulating elastic waves, and attempts characterization of their numerical properties in the context of linear and nonlinear media. A hybrid numerical approach combining advantages of the Local Interaction Simulation Approach (LISA) and Cellular Automata for Elastodynamics (CAFE) is proposed for unique treatment of arbitrary strain-stress relations. The iteration equations of the method are derived directly from physical principles employing stress and displacement continuity, leading to an accurate description of the propagation in arbitrarily complex media. Numerical analysis of guided wave propagation, based on the newly developed hybrid approach, is presented and discussed in the paper for linear and nonlinear media. Comparisons to Finite Elements (FE) are also discussed.

Paper Details

Date Published: 28 April 2017
PDF: 10 pages
Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 1017023 (28 April 2017); doi: 10.1117/12.2260175
Show Author Affiliations
Pawel Packo, AGH Univ. of Science and Technology (Poland)
Rafal Radecki, AGH Univ. of Science and Technology (Poland)
Piotr Kijanka, AGH Univ. of Science and Technology (Poland)
Wieslaw J. Staszewski, AGH Univ. of Science and Technology (Poland)
Tadeusz Uhl, AGH Univ. of Science and Technology (Poland)
Michael J. Leamy, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 10170:
Health Monitoring of Structural and Biological Systems 2017
Tribikram Kundu, Editor(s)

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