1. A study of structured uncertainties in wave characteristic of one-dimensional periodic structures
- Author
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Singh, R. P., Droz, C., Sergio De Rosa, Franco, F., Bareille, O., Ichchou, M. N., Singh, R. P., Droz, C., De Rosa, S., Franco, F., Bareille, O., Ichchou, M. N., Department of Industrial Engineering, University of Napoli 'Federico II (PASTA-Lab), Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Ecole Nationale d'Ingénieurs de Saint Etienne-Centre National de la Recherche Scientifique (CNRS), and This project has received funding from the European Unions Horizon 2020 Research and Innovation Programme undergrant agreement No 675441.
- Subjects
[PHYS.MECA.VIBR]Physics [physics]/Mechanics [physics]/Vibrations [physics.class-ph] ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[PHYS.MECA.ACOU]Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph] - Abstract
International audience; Periodic structures have properties of controlling mechanical wave. These are used in aircraft, trains, submarines, space structures and demand high level of robustness, which can be ensured with consideration of the presence of uncertainty in the numerical models. The uncertainties, in terms of material properties and geometrical parameters, are mostly introduced in both the manufacturing and assembly process. In order to predict the wave characteristics of the periodic structures under the uncertainty, the stochastic wave finite element method has been extended to periodic structures; wave finite element method (WFEM) added with an additional dimension to model the uncertain parameter using the perturbation approach. Numerical experiments are performed to test the method with one-dimensional periodic rod and periodic beam with parametric uncertainty. The performance of the developed method is compared in terms of computational cost which offers computational advantages over the Monte Carlo Simulation.