Abstract The Bayesian Operational Modal Analysis (OMA) approach can both estimate the
most probable value (MPV) of modal parameters and swiftly give identification uncertainty …

The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …

This paper presents a hierarchical Bayesian modeling framework for the uncertainty
quantification in modal identification of linear dynamical systems using multiple vibration …

Bridge condition assessment by use of structural health monitoring (SHM) data has been
recognized as a promising approach towards the condition-based preventive maintenance …

The ultra-high-voltage (UHV) transmission tower is currently the most advanced
transmission tower in the world. The UHV transmission line is mainly composed of tangent …

Identifying modal parameters and updating finite element models (FEMs) of real structures
through ambient tests is essential in Structural Health Monitoring (SHM). However, efficiently …

Up to date, few studies on the dynamic characteristics analysis and model updating of large-
size ultrahigh-voltage (UHV) transmission towers with long cross arms have been conducted …

Modal identification is an important step to evaluate the basic modal properties of structures
using measured data. In this process, the existence of modeling error and measurement …

For complex engineering structures, it is important to systematically select a model class
among various choices and search the complicated parameter space, while also quantifying …

The Bayesian model updating approach (BMUA) has been widely used to update structural
parameters using modal measurements because of its powerful ability to handle …