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Proceedings Paper

A constructive nonlinear array (CNA) method for barely visible impact detection in composite materials
Author(s): Gian Piero Malfense Fierro; Michele Meo
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Paper Abstract

Currently there are numerous phased array techniques such as Full Matrix Capture (FMC) and Total Focusing Method (TFM) that provide good damage assessment for composite materials. Although, linear methods struggle to evaluate and assess low levels of damage, while nonlinear methods have shown great promise in early damage detection. A sweep and subtraction evaluation method coupled with a constructive nonlinear array method (CNA) is proposed in order to assess damage specific nonlinearities, address issues with frequency selection when using nonlinear ultrasound imaging techniques and reduce equipment generated nonlinearities. These methods were evaluated using multiple excitation locations on an impacted composite panel with a complex damage (barely visible impact damage). According to various recent works, damage excitation can be accentuated by exciting at local defect resonance (LDR) frequencies; although these frequencies are not always easily determinable. The sweep methodology uses broadband excitation to determine both local defect and material resonances, by assessing local defect generated nonlinearities using a laser vibrometer it is possible to assess which frequencies excite the complex geometry of the crack. The dual effect of accurately determining local defect resonances, the use of an image subtraction method and the reduction of equipment based nonlinearities using CNA result in greater repeatability and clearer nonlinear imaging (NIM).

Paper Details

Date Published: 5 April 2017
PDF: 10 pages
Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 1017009 (5 April 2017); doi: 10.1117/12.2259900
Show Author Affiliations
Gian Piero Malfense Fierro, Univ. of Bath (United Kingdom)
Michele Meo, Univ. of Bath (United Kingdom)

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

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