Towards an industrial deployment of PZT based SHM processes: A dedicated metamodel for Lamb wave propagation
Communication avec acte
Numerical simulations of Structural Health Monitoring processes based on wave propagation can be very costly in terms of computation time, especially for complex aeronautic composite structures, and therefore strongly limits the deployment of industrial applications. Metamodels build a relatively simple relationship between inputs and outputs from a set of data and thus can overcome that difficulty. A metamodel based on radial basis functions interpolation is build in order to predict a Lamb Wave measurement on a damaged composite plate equipped by a network of 3 piezoelectric elements. The input parameters describe the position of the damage. This surrogate model is used to predict the measured signals for new damage configurations with a limited computational cost. Moreover, this metamodel is used in a reverse way to solve the inverse problem. A swarm particle optimisation algorithm seeks to find the position of a damage from a set of simulated signals.This approach allows us to identify correctly the damage localisation for an unknown configuration, providing therefore a new method for damage localization.
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Cross-structures Deep Transfer Learning through Kantorovich potentials for Lamb Waves based Structural Health Monitoring Article dans une revue avec comité de lecturePOSTORINO, Hadrien; MONTEIRO, Eric; REBILLAT, Marc; MECHBAL, Nazih (University of Liege library ( Belgium), 2023-04)In Lamb Waves based Structural Health Monitoring (LWSHM) of composite aeronautic structures, Deep Learning (DL) methods have proven to be promising to monitor damage using the signals collected by piezoelectric sensors ...
Experimental Damage Localization and Quantification with a Numerically Trained Convolutional Neural Network Communication avec actePOSTORINO, Hadrien; MONTEIRO, Eric; REBILLAT, Marc; MECHBAL, Nazih (Springer International Publishing, 2022-06)Structural Health Monitoring (SHM) based on Lamb wave propagation is a promising technology to optimize maintenance costs, enlarge service life and improve safety of aircrafts. A large quantity of data is collected during ...
Communication sans acteThe deployment of Deep Learning (DL) strategies is particularly advantageous in Structural Health Monitoring (SHM) based of lamb Wave (LW) propagation due to the high quantity of data collected by the network of piezoelectric ...
Communication avec acteSCHEFFLER, Mattias; MECHBAL, Nazih; REBILLAT, Marc; MONTEIRO, Eric; BARABINO, Nicolas (IEEE, 2019)This paper describes an original methodology to operate a new nonlinear vibrating membrane pump, actuated by a moving magnet actuator without the use of a motion sensor, in the scope of cardiac assistance. A nonlinear ...
Communication avec acteLI, Xixi; MONTEIRO, ERIC; REBILLAT, Marc; GUSKOV, Mikhail; MECHBAL, Nazih (A. Benjeddou, N. Mechbal and J.F. Deü, 2019)One of the most important issues in engineering is the monitoring and the early detection of structural damages to prevent catastrophic failures. This process is referred to as Structural Health Monitoring and is expected ...