The Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has
highlighted the need for performing accurate inference with limited data. Fundamental to the …

Recent research in the field of finite element model updating (FEM) advocates the adoption
of Bayesian analysis techniques to dealing with the uncertainties associated with these …

A customized version of Fish School Search (FSS) algorithm and the innovative volitive
operator of FSS (which is incorporated into the regular particle swarm optimization (PSO) …

Bayesian techniques have been widely used in finite element model (FEM) updating. The
attraction of these techniques is their ability to quantify and characterize the uncertainties …

The rapid spread of the novel coronavirus (SARS-CoV-2) has highlighted the need for the
development of rapid mitigating responses under conditions of extreme uncertainty. While …

Efficiency of a Bayesian model updating algorithm is greatly affected by the choice of
variance of prediction error models of different data points (evidence) used for model …

This paper presents a novel Gibbs sampling approach for structural health monitoring (SHM)
with detection of structural changes/damages using incomplete complex modal data …

The use of the Bayesian tools in system identification and model updating paradigms has
been increased in the last 10 years. Usually, the Bayesian techniques can be implemented …

In this paper, a probabilistic-based evolution Markov chain algorithm is used for updating
finite element models. The Bayesian approaches are well-known algorithms used for …

One challenge in the finite element model (FEM) updating of a physical system is to estimate
the values of the uncertain model variables. For large systems with multiple parameters this …