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Proceedings Paper

Guided waves based SHM systems for composites structural elements: statistical analyses finalized at probability of detection definition and assessment
Author(s): E. Monaco; Vittorio Memmolo; F. Ricci; Natalino D. Boffa; L. Maio
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Paper Abstract

Maintenance approaches based on sensorised structures and Structural Health Monitoring systems could represent one of the most promising innovations in the fields of aerostructures since many years, mostly when composites materials (fibers reinforced resins) are considered. Layered materials still suffer today of drastic reductions of maximum allowable stress values during the design phase as well as of costly and recurrent inspections during the life cycle phase that don't permit of completely exploit their structural and economic potentialities in today aircrafts. Those penalizing measures are necessary mainly to consider the presence of undetected hidden flaws within the layered sequence (delaminations) or in bonded areas (partial disbonding); in order to relax design and maintenance constraints a system based on sensors permanently installed on the structure to detect and locate eventual flaws can be considered (SHM system) once its effectiveness and reliability will be statistically demonstrated via a rigorous Probability Of Detection function definition and evaluation. This paper presents an experimental approach with a statistical procedure for the evaluation of detection threshold of a guided waves based SHM system oriented to delaminations detection on a typical wing composite layered panel. The experimental tests are mostly oriented to characterize the statistical distribution of measurements and damage metrics as well as to characterize the system detection capability using this approach. Numerically it is not possible to substitute part of the experimental tests aimed at POD where the noise in the system response is crucial. Results of experiments are presented in the paper and analyzed.

Paper Details

Date Published: 23 March 2015
PDF: 11 pages
Proc. SPIE 9438, Health Monitoring of Structural and Biological Systems 2015, 94380M (23 March 2015); doi: 10.1117/12.2084334
Show Author Affiliations
E. Monaco, Univ. of Naples Federico II (Italy)
Vittorio Memmolo, Univ. degli Studi di Napoli Federico II (Italy)
F. Ricci, Univ. of Naples Federico II (Italy)
Natalino D. Boffa, Univ. degli Studi di Napoli Federico II (Italy)
L. Maio, Univ. of Naples Federico II (Italy)


Published in SPIE Proceedings Vol. 9438:
Health Monitoring of Structural and Biological Systems 2015
Tribikram Kundu, Editor(s)

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