Affiliations: CNRS, UMR, Institut Jean Le Rond d'Alembert, Paris, France | UPMC Université Paris, UMR, Institut Jean Le Rond d'Alembert, Paris, France | Laboratoire de Tribologie et Dynamique des Systèmes UMR-CNRS, École Centrale de Lyon, Écully, France
Note: [] Corresponding author: B. Chomette, Institut Jean Le Rond d'Alembert, UMR-CNRS 7190,
CNRS, F-75005 Paris, France. E-mail: baptiste.chomette@upmc.fr
Abstract: The dynamics of a system and its safety can be considerably affected
by the presence of cracks. Health monitoring strategies attract so a great deal
of interest from industry. Cracks detection methods based on modal parameters
variation are particularly efficient in the case of large cracks but are
difficult to implement in the case of small cracks due to measurement
difficulties in the case of small parameters variation. Therefore the present
study proposes a new method to detect small cracks based on active modal
damping and piezoelectric components. This method uses the active damping
variation identificated with the Rational Fraction Polynomial algorithm as an
indicator of cracks detection. The efficiency of the proposed method is
demonstrated through numerical simulations corresponding to different crack
depth and locations in the case of a finite element model of a clamped-clamped
beam including four piezoelectric transducers.
Keywords: Crack detection, piezoelectric components, active damping, identification
