Abstract
Abstract
Modal identification consists of determining the natural frequencies, damping ratios and mode shapes of a build structure using measured dynamic data. The Bayesian approach is very appealing when the goal is not only to estimate the modal parameters but also their uncertainty, calculated from their joint probability distribution. This paper presents an example of Bayesian modal identification in time domain using the state space model and the software Stan.