Paper
18 April 2012 In-situ acousto-ultrasonic monitoring of crack propagation in Al2024 alloy
Prashanth A. Vanniamparambil, Ivan Bartoli, Kavan Hazeli, Jefferson Cuadra, Eric Schwartz, Raghavendra Saralaya, Antonios Kontsos
Author Affiliations +
Abstract
A data fusion technique implementing the principles of acoustic emission (AE), ultrasonic testing (UT) and digital image correlation (DIC) was employed to in situ monitor crack propagation in an Al 2024 alloy compact tension (CT) specimen. The specimen was designed according to ASTM E647-08 and was pre-cracked under fatigue loading to ensure stable crack growth. Tensile (Mode I) loads were applied according to ASTM E1290-08 while simultaneously recording AE activity, transmitting ultrasonic pulses and measuring full-field surface strains. Realtime 2D source location AE algorithms and visualization provided by the DIC system allowed the full quantification of the crack growth and the cross-validation of the recorded non-destructive testing data. In post mortem, waveform features sensitive to crack propagation were extracted and visible trends as a function of computed crack length were observed. In addition, following a data fusion approach, features from the three independent monitoring systems were combined to define damage sensitive correlations. Furthermore a novelty detector based on the Mahalanobis outlier analysis was implemented to quantify the extent of crack growth and to define a more robust sensing basis for the proposed system.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prashanth A. Vanniamparambil, Ivan Bartoli, Kavan Hazeli, Jefferson Cuadra, Eric Schwartz, Raghavendra Saralaya, and Antonios Kontsos "In-situ acousto-ultrasonic monitoring of crack propagation in Al2024 alloy", Proc. SPIE 8348, Health Monitoring of Structural and Biological Systems 2012, 83482J (18 April 2012); https://doi.org/10.1117/12.914053
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Cited by 3 scholarly publications.
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KEYWORDS
Digital image correlation

Nondestructive evaluation

Structural health monitoring

Feature extraction

Sensors

Ultrasonics

Data fusion

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