Abstract: Bayesian model updating facilitates the calibration of analytical models based on observations and the quantification of uncertainties in model parameters such as stiffness and mass. This process significantly enhances ...

Abstract: This study presents a novel approach to quantify uncertainties in Bayesian model updating, which is effective for sparse or single observations. Conventional uncertainty quantification methods are limited in situations ...