Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks

Mahzan, Shahruddin and J. Staszewski, Wieslaw and Worden, Keith (2010) Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks. Smart Structures and Systems, 6 (2). pp. 147-165. ISSN 1738-1584

Text
J8493_9d2fd2d9cd0cf45cad1f0dc769b13ae3.pdf
Restricted to Registered users only
Download (2MB) | Request a copy

Official URL: http://dx.doi.org/10.12989/sss.2010.6.2.147

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.

Item Type:	Article
Uncontrolled Keywords:	Composites; aerospace structures; impact damage detection; genetic algorithms; neural networks.
Subjects:	T Technology > T Technology (General)
Depositing User:	Mr. Abdul Rahim Mat Radzuan
Date Deposited:	17 Oct 2022 06:16
Last Modified:	17 Oct 2022 06:16
URI:	http://eprints.uthm.edu.my/id/eprint/7847

Actions (login required)

View Item