Titre :

Probabilistic evaluation of changes in dynamic properties of structures

Auteur(s) :

Mayolle, Quentin [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
L'Institut de Recherche Technologique (IRT) de la filière Ferroviaire [IRT Railenium]
Vanheeghe, Philippe [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Cascante, Giovanni [Auteur]
University of Waterloo [Waterloo]
Sabatier, Francis [Auteur]

Titre de la manifestation scientifique :

GeoNiagara 2021

Ville :

Niagara Falls, Ontario

Pays :

Canada

Date de début de la manifestation scientifique :

2021-09-26

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Génie civil/Géotechnique

Résumé en anglais : [en]

In this article, we present a new methodology using advanced signal processing to monitor small changes in dynamic properties using model response equations, relying on a non-linear state-space approach. Fully Bayesian ...
Lire la suite >In this article, we present a new methodology using advanced signal processing to monitor small changes in dynamic properties using model response equations, relying on a non-linear state-space approach. Fully Bayesian probabilistic methods, called Particle Smoothers (PS), are employed to provide instantaneous estimations of dynamic parameters distributions through time. In another specific case, when dynamic parameters to be estimated are the damping ratio and resonant frequency, a process based on the continuous wavelet transform (CWT) can be used. We show the superiority of our method even in this specific case. The proposed methodology gives a measurement of the goodness of the fit with simulations; thus, allowing a comparison between models. An application to Resonant Column testing is presented.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet ANR :

RAILENIUM

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL