Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
Bayesian operational modal analysis with interactive optimization for model updating of large-size UHV transmission towers
Y Zhu, Q Sun, C Zhao, H Qi, Y Su - Journal of Structural Engineering, 2023 - ascelibrary.org
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 …
size ultrahigh-voltage (UHV) transmission towers with long cross arms have been conducted …
An efficient dynamic response reconstruction methodology based on model condensation and modal decomposition
ZY Fu, MO Adeagbo, HF Lam - International Journal of …, 2023 - scholars.cityu.edu.hk
The structural dynamic response reconstruction of large-scale civil engineering structures
using traditional methods results in heavy computational burden with low efficiency. To …
using traditional methods results in heavy computational burden with low efficiency. To …
Time-domain structural model updating following the Bayesian approach in the absence of system input information
The modal-domain structural model updating and damage detection methods own the
advantage that they perform the whole computation without the information of system input …
advantage that they perform the whole computation without the information of system input …
Bayesian two-stage structural identification with equivalent formulation and EM algorithm
JX Zhu, SK Au - Mechanical Systems and Signal Processing, 2024 - Elsevier
For structural model identification using a Bayesian two-stage approach, modal properties
(eg, natural frequencies) are first extracted from measured data in Stage I and then used for …
(eg, natural frequencies) are first extracted from measured data in Stage I and then used for …
Time-Domain Markov Chain Monte Carlo Based Bayesian Model Updating Without Measured Excitation
Structural model updating and damage detection in the time-domain is attractive when
compared to the modal-domain as it allows the use of raw data without transforming it to …
compared to the modal-domain as it allows the use of raw data without transforming it to …
Fan-wall modifications
B Ngu - diva-portal.org
FläktGroup is one of the world's largest supplier of products and solutions related to indoor
climate control. The Jönköping location is the largest production facility for FläktGroup. Air …
climate control. The Jönköping location is the largest production facility for FläktGroup. Air …