Premature failure of bridge expansion joints has been increasingly observed in recent years,
and nowadays it becomes a major concern of bridge owners. A better understanding of their …

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

Bayesian model updating framework provides a reliable method for building high-fidelity
finite element models (FEMs). To realize the efficient model updating of large-scale civil …

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

Cable-stayed bridges are popular bridge designs and have been widely used all around the
world. To investigate the dynamic properties of cable-stayed bridges, many structural health …

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

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 …

With the development of fluid-power transmission and control technology, electro-hydraulic-
driven technology can significantly improve the load-carrying capacity, stiffness, and control …

Bayesian operational modal analysis (BAYOMA) has been increasingly applied to ambient
vibration tests, providing a fundamental means for estimating modal properties as well as …

为获得更接近真实情况的轨道结构模型, 提出了一种基于多链竞争差分进化算法的无砟轨道结构
有限元模型修正方法; 以频率振型模态为响应建立了适用于无砟轨道结构的目标函数和似然函数 …