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Optimal Sensors Placement to Enhance Damage Detection in Composite Plates

Communication avec acte
Auteur
FENDZI, Claude
MOREL, Julien
COFFIGNAL, Gérard
ccMECHBAL, Nazih
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
ccGUSKOV, Mikhail
ccRÉBILLAT, Marc

URI
http://hdl.handle.net/10985/8234
Date
2014

Résumé

This paper examines an important challenge in ultrasonic structural health monitoring (SHM), which is the problem of the optimal placement of sensors in order to accurately detect and localize damages. The goal of this study is to enhance damage detection through an optimal sensor placement (OSP) algorithm. The problem is formulated as a global optimization problem, where the objective function to be maximized is evaluated by a ray tracing approach, which approximately models Lamb waves propagation. A genetic algorithm (GA) is then used to solve this optimization problem. Simulations and experiments were conducted to validate the proposed method on a carbon epoxy composite plate. Results show the effectiveness and the advantages of the proposed method as a tool for OSP with reasonable computation time.

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Nom:
PIMM-EWSHM-FENDZI-2014.pdf
Taille:
1.165Mo
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  • Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • A data-driven temperature compensation approach for Structural Health Monitoring using Lamb waves 
    Article dans une revue avec comité de lecture
    FENDZI, Claude; COFFIGNAL, Gérard; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (SAGE Publications (UK and US), 2016)
    This paper presents a temperature compensation method for Lamb wave structural health monitoring. The proposed approach considers a representation of the piezo-sensor signal through its Hilbert transform that allows one ...
  • A General Bayesian Framework for Ellipse-based and Hyperbola-based Damage Localisation in Anisotropic Composite Plates 
    Article dans une revue avec comité de lecture
    FENDZI, Claude; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (SAGE Publications, 2016)
    This paper focuses on Bayesian Lamb wave-based damage localization in structural health monitoring of anisotropic composite materials. A Bayesian framework is applied to take account for uncertainties from experimental ...
  • Sensor validation of a Structural Health Monitoring Process for Aircraft Nacelle 
    Communication avec acte
    MASSOT, Tristan; FENDZI, Claude; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (2014)
    This paper details the implementation process of an embedded structural health monitoring (SHM) system enabling condition-based maintenance of aircraft nacelles. One critical issue before being able to make use of such ...
  • Verification and Validation of Structural Health Monitoring Algorithms: A Maturation Procedure 
    Communication avec acte
    HMAD, Ouadie; FENDZI, Claude; ccMECHBAL, Nazih; ccRÉBILLAT, Marc (IFAC, 2015)
    Structural Health Monitoring (SHM) system offers new approaches to interrogate the integrity of structures. However, their reliability has still to be demonstrated an quantified to enable confidence transition from R&D to ...
  • Laser shock a novel way to generate calibrated delamination in composites: concept and first results 
    Communication avec acte
    GHRIB, Meriem; BERTHE, Laurent; ECAULT, Romain; ccMECHBAL, Nazih; ccGUSKOV, Mikhail; ccRÉBILLAT, Marc (2015)
    Structural Health Monitoring (SHM) has been gaining importance in recent years. SHM aims at providing structures with similar functionality as the biological nervous system and it is organized into four main steps: detection, ...

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