The frequency response function (FRF)-based deterministic damage detection method is
well established, but there are some practical difficulties when considering uncertainty …

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

The aim of this study is to develop a Hamiltonian Monte Carlo‐based algorithm for finite
element model updating in the Bayesian framework. The proposed algorithm uses adaptive …

The prediction error variances for frequencies are usually considered as unknown in the
Bayesian system identification process. However, the error variances for mode shapes are …

An optimal parameter estimation method for uncertain structural systems under unknown
random excitations is proposed, which combines the Bayesian inference and stochastic …

To ensure the safe use of structures, it is essential to develop efficient damage identification
techniques. In this paper, a brand-new approach to identifying structural deterioration based …

Anomaly and damage detection is an important research topic in the field of structural health
monitoring (SHM). It is in general difficult to establish a precise computational model and …

The problem of implied margin of safety in seismic design codes is examined—with
particular reference to the Indian standard IS-1893. A framework for estimation of available …

Bayesian Probabilistic approaches in the health monitoring of civil engineering structures
has gained remarkable interest during past decades. When compared to the available …

The present study investigates the effectiveness of Bayesian approach of model updating of
structure, using simulated modal data sets as evidence. The importance of the prediction of …