A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data
Abstract Model updating using measured system dynamic response has a wide range of
applications in system response evaluation and control, health monitoring, or reliability and …
applications in system response evaluation and control, health monitoring, or reliability and …
Efficient Bayesian inference for finite element model updating with surrogate modeling techniques
Bayesian finite element model updating has become an important tool for structural health
monitoring. However, it takes a large amount of computational cost to update the finite …
monitoring. However, it takes a large amount of computational cost to update the finite …
A two-stage Bayesian algorithm for finite element model updating by using ambient response data from multiple measurement setups
This study presents a two-stage Bayesian finite element model updating procedure by using
acceleration response measurements obtained from multiple setups. In the presented …
acceleration response measurements obtained from multiple setups. In the presented …
A Bayesian model updating with incomplete complex modal data
Finite element (FE) model updating using measured dynamic data has gained much
attention in view of its contribution towards important areas like model-correction, structural …
attention in view of its contribution towards important areas like model-correction, structural …
[HTML][HTML] A Bayesian finite element model updating with combined normal and lognormal probability distributions using modal measurements
The present work is associated with Bayesian finite element (FE) model updating using
modal measurements based on maximizing the posterior probability instead of any sampling …
modal measurements based on maximizing the posterior probability instead of any sampling …
On the Bayesian model updating based on model reduction using complex modal data for damage detection
An approach for the Bayesian model updating of a linear dynamic system using complex
modal data identified from dynamic test data is proposed in this paper. Very few works have …
modal data identified from dynamic test data is proposed in this paper. Very few works have …
Bayesian model updating using modal data based on dynamic condensation
S Bansal - Journal of Engineering Mechanics, 2020 - ascelibrary.org
This paper introduces a methodology for Bayesian model updating of a linear dynamic
system using the modal data that consists of the posterior statistics of the modal properties …
system using the modal data that consists of the posterior statistics of the modal properties …
Gibbs Sampler-Based Probabilistic Damage Detection of Structures Using Reduced Order Model
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 …
targeting the modal measurements is a significant area of interest in structural health …
A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction
The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing
modal data. The dynamic condensation technique is adopted in this work to reduce the full …
modal data. The dynamic condensation technique is adopted in this work to reduce the full …
Gibbs sampling for damage detection using complex modal data from multiple setups
This paper presents a novel Gibbs sampling approach for structural health monitoring (SHM)
with detection of structural changes/damages using incomplete complex modal data …
with detection of structural changes/damages using incomplete complex modal data …