- Title
- Optimized FBG sensor network for efficient detection of a delamination in FRP structures
- Creator
- Kahandawa, Gayan; Epaarachchi, Jayantha; Wang, Hao; Lau, Alan
- Date
- 2012
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/161134
- Identifier
- vital:12386
- Abstract
- Delamination is a potential cause of failure of composite components. Due to the hidden nature of propagation, the detection of delaminations in composites is a time consuming and extremely difficult task. A few decades of research have shown the effectiveness of the embedded fibre Bragg grating (FBG) sensors to detect such damage in fibre reinforced polymeric (FRP) structures. However, a number of sensors are required to detect delaminations within a particular region of a composite structure due the limited receptive range of an FBG sensor. The complexity and the cost of manufacturing increases with the number of sensors attached and therefore, estimation of the optimum number of sensors for efficient identification of damage is an equally important factor to investigate. This paper details a study on optimization of the number of sensors used to monitor damage in a critical region of an FRP structure. A detailed finite element analysis (FEA) was used for the investigation. A delamination and several FBG sensors were simulated in FEA. The strain values at simulated FBG sensors were used as an input for the development of an optimization algorithm, using artificial neural network (ANN). The number of FBG sensors was decreased until the prediction of the algorithm was reached within a 0.1% error level. The optimal number of FBGs was taken at 0.1% error level with a minimum number of epoch. Furthermore, the effect of obsolete sensors of an optimized sensor network on prediction of the delamination, was also investigated. Copyright © (2012) Asian-Australasian Association for Composite Materials (AACM).
- Relation
- 8th Asian-Australasian Conference on Composite Materials 2012 p. 1443-1448
- Rights
- Copyright© (2012) by Asian-Australasian Association for Composite Materials (AACM).
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0910 Manufacturing Engineering; 0913 Mechanical Engineering
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