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Smart Structures and Systems Volume 6, Number 2, March 2010 , pages 147-165 DOI: https://doi.org/10.12989/sss.2010.6.2.147 |
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Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks |
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Shahruddin Mahzan, Wieslaw J. Staszewski and Keith Worden
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| Abstract | ||
| Abstract. Impact damage detection in composite structures has gained a considerable interest in many engineering areas. The capability to detect damage at the early stages reduces any risk of catastrophic failure. This paper compares two advanced signal processing methods for impact location in composite aircraft structures. The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. A series of impacts is performed experimentally on a composite aircraft wing-box structure instrumented with low-profile, bonded piezoceramic sensors. The strain data are used for learning in the Neural Network approach. The triangulation procedure utilises the same data to establish impact velocities for various angles of strain wave propagation. The study demonstrates that both approaches are capable of good impact location estimates in this complex structure. | ||
| Key Words | ||
| composites; aerospace structures; impact damage detection; genetic algorithms; neural networks. | ||
| Address | ||
| Shahruddin Mahzan, Wieslaw J. Staszewski and Keith Worden; Department of Mechanical Engineering, Sheffield University, Mappin Street, Sheffield S1 3JD, United Kingdom | ||