[HTML][HTML] Review of finite element model updating methods for structural applications

S Ereiz, I Duvnjak, JF Jiménez-Alonso - Structures, 2022 - Elsevier
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …

Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems

JH Yang, HF Lam, YH An - Engineering Structures, 2022 - Elsevier
The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …

Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters

C Fang, HJ Liu, HF Lam, MO Adeagbo, HY Peng - Engineering Structures, 2022 - Elsevier
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 …

Two-stage automated operational modal analysis based on power spectrum density transmissibility and support-vector machines

ZW Chen, KM Liu, WJ Yan, JL Zhang… - International Journal of …, 2021 - World Scientific
Power spectrum density transmissibility (PSDT) functions have attracted widespread
attention in operational modal analysis (OMA) because of their robustness to excitations …

[图书][B] Vibration testing and applications in system identification of civil engineering structures

HF Lam, JH Yang - 2022 - taylorfrancis.com
This book covers vibration testing and identification of dynamic structural systems. It starts
from the fundamentals of structural dynamics, and covers the methods of modal analysis and …

Gibbs Sampler-Based Probabilistic Damage Detection of Structures Using Reduced Order Model

A Das, N Debnath - International Journal of Structural Stability and …, 2023 - World Scientific
Vibration-based global damage detection based on updating of finite element (FE) model by
targeting the modal measurements is a significant area of interest in structural health …

Bayesian uncertainty quantification of modal parameters and RRF identification of transmission towers with limited measured vibration data

YH Su, YM Zhu, C Zhao, HF Lam, Q Sun - Engineering Structures, 2024 - Elsevier
The resonant response factor (RRF) sensitive to modal parameters, including the damping
ratio and frequency, is a critical parameter for wind-resistant design of extra high voltage …

Bayesian model updating of a 20-story office building utilizing operational modal analysis results

HF Lam, J Hu, MO Adeagbo - Advances in Structural …, 2019 - journals.sagepub.com
Most existing buildings are not equipped with long-term monitoring system. For the structural
model updating and damage detection of this type of structures, ambient vibration test is …

A Bayesian Structural Modal Updating Method Based on Sparse Grid and Ensemble Kalman Filter

G Lin, Y Zhang, E Cai, M Luo… - Structural Control and …, 2024 - Wiley Online Library
This study presents a sparse grid interpolation and ensemble Kalman filter (EnKF)‐based
Markov Chain Monte Carlo (MCMC) method (SG‐EnMCMC). Initiating with the formulation of …

A new damage detection method for special-shaped steel arch bridges based on fractal theory and the model updating technique

XX Cheng, G Wu, L Zhang, FB Ma - International Journal of …, 2021 - World Scientific
In this paper, an innovative two-level damage detection method applicable to real-world
online structural health monitoring (SHM) systems is proposed for in-service large steel arch …