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Proceedings Paper

Condition monitoring of vibrating composite structures based on optical fiber strain sensing and finite element model updating
Author(s): Giorgio Nosenzo; Maurice Patrick Whelan; Tara Dalton
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Paper Abstract

This investigation concerns the application of different techniques, including optical fibre strain sensing, pulsed Digital Speckle Pattern Interferometry (DSPI), traditional modal analysis and finite element modeling to the study of vibrating composite structures. A prototype system for condition monitoring of composite structures is being developed which relies on the on-line measurement of dynamic strains in order to detect any deterioration in performance due to the accumulation of damage. A range of carbon-fibre reinforced composite specimens that incorporate innovative Fabry-Perot interferometric long gauge-length strain sensors have been produced and tested. The optimal design of fibre sensor network configurations for the identification of different damage parameters is being aided through the development of a software simulation tool and the use of a p-version FEM package. Vibration modes of the excited structures have also been determined using an out-of-plane pulsed-DSPI system, employing a dual-cavity frequency-doubled Nd:YAG pulsed laser with a 25 Hz repetition rate. In general, experimental results compare favorably with finite element predictions. The data derived from the strain sensors is used to update a parameterized FE model of the composite structure, allowing the determination of the position and extent of damage present.

Paper Details

Date Published: 27 June 2002
PDF: 9 pages
Proc. SPIE 4694, Smart Structures and Materials 2002: Smart Sensor Technology and Measurement Systems, (27 June 2002); doi: 10.1117/12.472610
Show Author Affiliations
Giorgio Nosenzo, Univ. of Limerick (Italy)
Maurice Patrick Whelan, European Commission Joint Research Ctr. (Italy)
Tara Dalton, Univ. of Limerick (Ireland)


Published in SPIE Proceedings Vol. 4694:
Smart Structures and Materials 2002: Smart Sensor Technology and Measurement Systems
Daniele Inaudi; Eric Udd, Editor(s)

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