At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …

Vibrations are the root cause of many mechanical and civil structure failures. Dynamic
characteristics of a structure must be extracted to better understand structural vibrational …

Anomaly detection by Mahalanobis-squared distance (MSD) is a popular unsupervised
learning approach to structural health monitoring (SHM). Despite the popularity and high …

An effective sensor network with an appropriate sensor configuration is the first step of
model updating to obtain the actual structural response. However, sensor placements based …

Structural damage identification based on finite element (FE) model updating has been a
research direction of increasing interest over the last decade in the mechanical, civil …

This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …

Cultural Heritage preservation requires the combination of in situ investigations and
accurate Finite Elements models in order to correctly interpret the empirical evidence and …

A new probabilistic finite element (FE) model updating technique based on Hierarchical
Bayesian modeling is proposed for identification of civil structural systems under changing …

Fault diagnosis of bearings using classification techniques plays an important role in
industrial applications, and, hence, has received increasing attention. Recently, significant …

Accurate and efficient parameter identification along with uncertainty quantification in
nonlinear systems is crucial for enabling practical and reliable structural health monitoring …