This study presents a two-stage Bayesian finite element model updating procedure by using
acceleration response measurements obtained from multiple setups. In the presented …

In this study, a Modified Frequency and Spatial Domain Decomposition (MFSDD) technique
is developed for modal parameter identification, using output-only response measurements …

This article describes a divide-and-conquer strategy suited for vibration monitoring
applications. Based on a low-cost embedded network of microelectromechanical …

Each operational modal analysis (OMA) technique may produce significant errors during the
identification procedure due to the applied methodology, environmental/operational …

Modal identification of large-scale engineering structures may require multiple
measurements obtained from different locations, due to the limitations in the instrumentation …

In the conventional frequency domain modal identification procedures, modal parameters
are attempted to be identified using power spectral density matrix decomposition. As it is …

Assembling of multi-setup measurements emerges as a challenging problem in the
structural health monitoring applications and may cause some important issues in the …

Finite element models (FEMs) are effective for predicting structural behaviors subjected to
various excitations. However, modeling errors in FEMs always exist, especially for complex …

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 …

Bayesian operational modal analysis makes inference about the modal properties (eg,
natural frequency, damping ratio) of a structure using 'output-only'ambient vibration data …