From nonlinear system identification to structural health monitoring
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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IMPROVING EFFICIENCY AND ROBUSTNESS OF STRUCTURAL HEALTH MONITORING TECHNIQUES BASED ON LAMB WAVE DETECTION Communication avec acteREBUFA, Jocelyn; JAUSSAUD, Gladys; FOURNIER, Marc; LOGEAIS, M.; BENCHEIKH, N.; CLAEYSSEN, F.; RÉBILLAT, Marc; GUSKOV, 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 ...
Communication avec acteJAUSSAUD, Gladys; REBUFA, Jocelyn; FOURNIER, Marc; LOGEAIS, Matthieu; BENCHEIKH, Nabil; REBILLAT, Marc; MECHBAL, Nazih (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 ...
Comparison of least squares and exponential sine sweep methods for Parallel Hammerstein Models estimation Article dans une revue avec comité de lectureREBILLAT, Marc; SCHOUKENS, Maarten (Elsevier, 2017)Linearity is a common assumption for many real-life systems, but in many cases the nonlinear behavior of systems cannot be ignored and must be modeled and estimated. Among the various existing classes of nonlinear models, ...
Vibroacoustics of the piano soundboard : (Non)linearity and modal properties in the low- and mid-frequency ranges Article dans une revue avec comité de lectureEGE, Kerem; BOUTILLON, Xavier; REBILLAT, Marc (Elsevier, 2013)The piano soundboard transforms the string vibration into sound and therefore, its vibrations are of primary importance for the sound characteristics of the instrument. An original vibro-acoustical method is presented to ...