A new Gibbs sampling based algorithm for Bayesian model updating with incomplete complex modal data

SH Cheung, S Bansal - Mechanical Systems and Signal Processing, 2017 - Elsevier
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 …

Efficient Bayesian inference for finite element model updating with surrogate modeling techniques

Q Li, X Du, P Ni, Q Han, K Xu, Z Yuan - Journal of Civil Structural Health …, 2024 - Springer
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 …

A two-stage Bayesian algorithm for finite element model updating by using ambient response data from multiple measurement setups

Ç Hızal, G Turan - Journal of Sound and Vibration, 2020 - Elsevier
This study presents a two-stage Bayesian finite element model updating procedure by using
acceleration response measurements obtained from multiple setups. In the presented …

A Bayesian model updating with incomplete complex modal data

A Das, N Debnath - Mechanical Systems and Signal Processing, 2020 - Elsevier
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 …

[HTML][HTML] A Bayesian finite element model updating with combined normal and lognormal probability distributions using modal measurements

A Das, N Debnath - Applied Mathematical Modelling, 2018 - Elsevier
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 …

On the Bayesian model updating based on model reduction using complex modal data for damage detection

EK Henikish, A Das, S Bansal - Journal of Sound and Vibration, 2023 - Elsevier
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 …

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 …

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 …

A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction

A Das, RP Kiran, S Bansal - … Engineering and Mechanics, An Int'l …, 2023 - dbpia.co.kr
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 …

Gibbs sampling for damage detection using complex modal data from multiple setups

A Das, N Debnath - ASCE-ASME Journal of Risk and Uncertainty in …, 2021 - ascelibrary.org
This paper presents a novel Gibbs sampling approach for structural health monitoring (SHM)
with detection of structural changes/damages using incomplete complex modal data …