Repeated exponential sine sweeps for the autonomous estimation of nonlinearities and bootstrap assessment of uncertainties - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2015

Repeated exponential sine sweeps for the autonomous estimation of nonlinearities and bootstrap assessment of uncertainties

Résumé

Measurements on vibrating structures has been a topic of interest for decades. Vibrating structures are however generally assumed to behave linearly and in a noise-free environment, which is not the case in practice. This paper provides a methodology that allows for the autonomous estimation of nonlinearities and assessment of uncertainties by bootstrap on a given vibrating structure. Nonlinearities are estimated by means of a block-oriented nonlinear model approach based on parallel Hammerstein models and on exponential sine sweeps. Estimation uncertainties are simultaneously assessed using repetitions of the input signal (multi-sine sweeps) as the input of a bootstrap procedure. Mathematical foundations and a practical implementation of the method are discussed using an experimental example. The experiment chosen here consists in exciting a steel plate under various boundary conditions with exponential sine sweeps and at different levels in order to assess the evolution of nonlinearities and uncertainties over a wide range of frequencies and input amplitudes.
PIMM-Rebillat_etal_GDR_DYNOLIN_2015_V2.pdf (3.15 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-01219154 , version 1 (24-06-2016)

Identifiants

  • HAL Id : hal-01219154 , version 1
  • ENSAM : http://hdl.handle.net/10985/10369

Citer

Marc Rebillat, Kerem Ege, Maxime Gallo, Jerome Antoni. Repeated exponential sine sweeps for the autonomous estimation of nonlinearities and bootstrap assessment of uncertainties. Journées du GDR DYNOLIN, Oct 2015, Lyon, France. pp.1007-1018. ⟨hal-01219154⟩
71 Consultations
20 Téléchargements

Partager

Gmail Facebook X LinkedIn More