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Proceedings Paper

Structural health monitoring of composite T-joints for assessing the integrity of damage zones
Author(s): A. Kesavan; M. Deivasigamani; Sabu J. John; Israel Herszberg
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Paper Abstract

This paper uses one category of Structural Health Monitoring (SHM) which uses strain variation across a structure as the key to damage detection. The structure used in this study was made from Glass Fibre Reinforced Plastic (GFRP). This paper discusses a technique developed called "Global Neural network Architecture Incorporating Sequential Processing of Internal sub Networks (GNAISPIN)" to predict the presence of multiple damage zones, determine their positions and also predict the extent of damage. Finite Element (FE) models of T-joints, used in ship structures, were created using MSC Patran(R) . These FE models were created with delaminations embedded at various locations across the bond-line of the structure. The resulting strain variation across the surface of the structure was observed. The validity of the Finite Element model was then verified experimentally. GNAISPIN was then used in tandem with the Damage Relativity Analysis Technique to predict and estimate the presence of multiple delaminations.

Paper Details

Date Published: 30 March 2006
PDF: 12 pages
Proc. SPIE 6167, Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, 61670E (30 March 2006); doi: 10.1117/12.655967
Show Author Affiliations
A. Kesavan, Royal Melbourne Institute of Technology (Australia)
M. Deivasigamani, Royal Melbourne Institute of Technology (Australia)
Sabu J. John, Royal Melbourne Institute of Technology (Australia)
Israel Herszberg, Cooperative Research Ctr. for Advanced Composite Structures (Australia)


Published in SPIE Proceedings Vol. 6167:
Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications
Daniele Inaudi; Wolfgang Ecke; Brian Culshaw; Kara J. Peters; Eric Udd, Editor(s)

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