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From nonlinear system identification to structural health monitoring

Conférence invitée
Auteur
ccRÉBILLAT, Marc
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]

URI
http://hdl.handle.net/10985/11277
Date
2016

Résumé

The process of implementing a damage monitoring strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM) and implies a sensor network that monitors the behavior of the structure on-line. A SHM process potentially allows for an optimal use of the monitored structure, a minimized downtime, and the avoidance of catastrophic failures. The SHM process classically relies on four sequential steps that are damage detection, localization, classification, and quantification. The key idea underlying this seminary is that structural damages may result in nonlinear dynamical signatures that are not yet used in SHM despite the fact that they can significantly enhance their monitoring. We thus propose to monitor these structural damages by identifying their nonlinear signature on the basis of a cascade of Hammerstein models representation of the structure. This model is here estimated at very low computational cost by means of the Exponential Sine Sweep Method. It will be shown that on the basis of this richer dynamical representation of the structure, SHM algorithms dedicated to damage detection, classification and quantification can be derived. This will be illustrated in the aeronautic and civil engineering contexts and using experimental as well as numerical data.

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Documents liés

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  • Improving Lamb Wave detection for SHM using a dedicated LWDS electronics 
    Communication avec acte
    JAUSSAUD, Gladys; REBUFA, Jocelyn; FOURNIER, Marc; LOGEAIS, Matthieu; BENCHEIKH, Nabil; ccMECHBAL, Nazih; ccRÉBILLAT, Marc (NTD, 2019)
    In the context of Condition Based Maintenance (CBM) for aircrafts, Structural Health Monitoring (SHM) is one main field of research. Detection and localization of damages in a structure request reliability of the equipment ...
  • IMPROVING EFFICIENCY AND ROBUSTNESS OF STRUCTURAL HEALTH MONITORING TECHNIQUES BASED ON LAMB WAVE DETECTION 
    Communication avec acte
    REBUFA, Jocelyn; JAUSSAUD, Gladys; FOURNIER, Marc; LOGEAIS, M.; BENCHEIKH, N.; CLAEYSSEN, F.; ccRÉBILLAT, Marc; ccGUSKOV, Mikhail (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)
    Required improvements of piezoelectric elements actuation and measurement system efficiency and robustness are introduced as a critical feature for structural health monitoring (SHM) applications. An electronic module (Lamb ...
  • Detection of structural damage using the exponential sine sweep method 
    Communication avec acte
    HAJRYA, Rafik; ccMECHBAL, Nazih; ccRÉBILLAT, Marc (DEStech Publications, Inc., 2013)
    Structural damages can result in nonlinear dynamical responses. Thus, estimating the nonlinearities generated by damages potentially allows detecting them. In this paper, an original approach called the ES2D (Exponential ...
  • On the variation of interaural time differences with frequency 
    Article dans une revue avec comité de lecture
    BENICHOUX, Victor; BRETTE, Romain; ccRÉBILLAT, Marc (Acoustical Society of America, 2016)
    Interaural time difference (ITD) is a major cue to sound localization in humans and animals. For a given subject and position in space, ITD depends on frequency. This variation is analyzed here using a head related transfer ...
  • Contrôle santé des structures basé sur la signature dynamique non-linéaire de dommages 
    Conférence invitée
    ccRÉBILLAT, Marc (2015)
    La mise en place de procédures de contrôle automatisé de l’endommagement de structures issues de l’aéronautique ou du génie civil constitue une thématique émergente nommée « Contrôle de la santé des structures » (SHM : « ...

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