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 …

Bayesian inference provides a powerful approach to system identification and damage
assessment for structures. The application of Bayesian method is motivated by the fact that …

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

This paper presents the problem definition and guidelines for a benchmark control problem
in real-time hybrid simulation for a seismically excited building, to appear in a Special Issue …

Bayesian system identification has attracted substantial interest in recent years for inferring
structural models based on measured dynamic response from a structural dynamical …

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 …

Structural damage due to excessive loading or environmental degradation typically occurs
in localized areas (in the absence of collapse) where it leads to local stiffness reductions …

This paper introduces the second experimental phase of the activities of the IASC-ASCE
Structural Health Monitoring Task Group, involving the application of structural health …

Assessing the damage state from the measurement data is central to structural health
monitoring. Due to the ubiquitous existence of uncertainty factors in structural model and …

Abstract Whale Optimization Algorithm, Eagle Perching Optimization, Dragonfly Algorithm,
Flower Pollination Algorithm, Bird Swarm Algorithm (BSA) and Firefly Algorithm (FA), are few …