This paper focuses on studying the impaction of the correlation between the measurement
data on structural model updating. A new homotopy based stochastic finite element model …

Stochastic model updating (SMU) has been increasingly applied in quantifying structural
parameter uncertainty from responses variability. SMU for parameter uncertainty …

Parameter selection is a key step in finite-element-model updating (FEMU) because it
determines whether the task of FEMU is successful or not. The as-built engineering …

In this paper, a fast Bayesian methodology is presented for structural model updating
utilizing modal information from multiple setups. A two-stage fast Bayesian spectral density …

The problem of selecting parameters for stochastic model updating is one that has been
studied for decades, yet no method exists that guarantees the 'correct'choice. In this paper, a …

This paper presents a procedure to identify damages in beam structures using a damage
index defined based on the first mode shape of the structure. The proposed damage index is …

Stochastic model updating provides an effective way of handling uncertainties existing in
real-world structures. In general, probabilistic theories, fuzzy mathematics or interval …

Abstract Model updating is concerned about the correction of finite element models by
processing the record of dynamic response from test structures in order to have an accurate …

A residual-based Gaussian process model (GPM) framework is proposed for finite element
model updating (FEMU). The core idea of the proposed method is that GPM is adopted to …

Uncertainty quantification metrics have a critical position in inverse problems for dynamic
systems as they quantify the discrepancy between numerically predicted samples and …