Furthermore, this study explores the implications of utilizing a multivariate normal likelihood function as a likelihood function, potentially leading to better posterior distribution estimations by accommodating the unique characteristics of each parameter. The outcomes underscore the efficacy of the Bayesian model updating approach in achieving a statistically robust parameter updating, facilitating a thorough characterization of uncertainty, and elevating confidence levels in the model's predictions.