During the past decades, significant efforts have been dedicated to develop reliable
methods in structural health monitoring. The health assessment for the target structure of …

Abstract Model updating of dynamical systems has been attracting much attention because it
has a very wide range of applications in aerospace, civil, and mechanical engineering, etc …

Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

This paper presents a newly developed simulation-based approach for Bayesian model
updating, model class selection, and model averaging called the transitional Markov chain …

Ambient vibration tests have attracted increasing attention over the last few decades
because they can be performed economically with the structure under working condition …

This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where,
in addition to nonlinear model parameters, the covariance matrix of measurement noise is …

When system identification methodologies are used to interpret measurement data taken
from structures, uncertainty dependencies are in many cases unknown due to model …

A new Bayesian model updating approach is presented for linear structural models. It is
based on the Gibbs sampler, a stochastic simulation method that decomposes the uncertain …

It is a normal practice to consider the reduction of modal frequencies as an indicator for
structural damage but some long-term monitoring studies revealed that the structural modal …

Written by a highly respected expert in the field, this book provides the first comprehensive
coverage of SHM. It reviews the various types of sensors currently used in SHM and …