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Proceedings Paper

Simulation of damage-features in complex joint using guided waves
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Paper Abstract

This paper presents the use of guided wave concept in localizing small cracks in complex lug joint structures. A lug joint is a one of the several 'hotspots' in an aerospace structure which experiences fatigue damage. Several fatigue tests on lug joint samples prepared from 0.25" plate of Aluminum (Al) 2024 T351 indicated a distinct failure pattern. All samples failed at the shoulders. Different notch sizes are introduced at the shoulders and both virtual and real active health monitoring with piezoelectric transducers is performed. Simulations of the real time experiment are carried out using Finite Element (FE) analysis. Similar crack geometry and piezoelectric transducer orientation are considered both in experiment and in simulation. Results presented illustrate the use of guided waves in interrogating damage in lug joints. A comparison of sensor signals has been made between experimental and simulated signals which show good correlation. The frequency transform on the sensor signal data yield useful information for characterizing damage. Further, sensitivity studies are performed. The sensitivity study information offers potential application in reducing the computational cost for any defect localization technique by reducing redundant sensors. This information is a key to optimal sensor placement for damage detection in structural health monitoring (SHM).

Paper Details

Date Published: 3 April 2008
PDF: 12 pages
Proc. SPIE 6926, Modeling, Signal Processing, and Control for Smart Structures 2008, 69260O (3 April 2008); doi: 10.1117/12.776468
Show Author Affiliations
Sunilkumar Soni, Arizona State Univ. (United States)
Sourav Banerjee, Arizona State Univ. (United States)
Santanu Das, NASA Ames Research Ctr. (United States)
Aditi Chattopadhyay, Arizona State Univ. (United States)

Published in SPIE Proceedings Vol. 6926:
Modeling, Signal Processing, and Control for Smart Structures 2008
Douglas K. Lindner, Editor(s)

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