Sparse Bayesian learning with model reduction for probabilistic structural damage detection with limited measurements
A new variant of damage detection algorithm is proposed based on Sparse Bayesian
Learning (SBL) and model reduction for probabilistic structural damage detection. By …
Learning (SBL) and model reduction for probabilistic structural damage detection. By …
Bayesian finite element model updating and assessment of cable-stayed bridges using wireless sensor data
We focus on a Bayesian inference framework for finite element (FE) model updating of a
long-span cable-stayed bridge using long-term monitoring data collected from a wireless …
long-span cable-stayed bridge using long-term monitoring data collected from a wireless …
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 …
[引用][C] Bayesian-based finite element model updating, damage detection, and uncertainty quantification for cable-stayed bridges
P Asadollahi - 2018 - University of Kansas