Eventos Anais de eventos
DINAME 2023
XIX International Symposium on Dynamic Problems of Mechanics
Bayesian Operational Modal Analysis with Likelihood Free Methods
Submission Author:
Matheus Querino de Souza , RJ
Co-Authors:
Matheus Querino de Souza, DANIEL CASTELLO
Presenter: Matheus Querino de Souza
doi://10.26678/ABCM.DINAME2023.DIN2023-0127
Abstract
This work presents the Bayesian Operational Modal Analysis (BAYOMA) used to estimate the modal parameters of a structure under operational conditions and the Approximate Bayesian Computation (ABC) used to approximate the posterior distribution when the likelihood function is not available in explicit form. A numerical example using BAYOMA in conjunction with the Laplace Approximation and the ABC to estimate the modal parameters is presented.
Keywords
OMA, Approximate Bayesian Computation (ABC), Rejecting Sampling, uncertainty quantification
