In structural engineering, model updating is often used for non-destructive damage
assessment: by calibrating stiffness parameters of finite element models based on …

The sensitivity method is probably the most successful of the many approaches to the
problem of updating finite element models of engineering structures based on vibration test …

Probabilistic uncertainty and imprecision in structural parameters and in environmental
conditions and loads are challenging phenomena in engineering analyses. They require …

This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …

This paper gives an overview of recent advances in the field of non-probabilistic uncertainty
quantification. Both techniques for the forward propagation and inverse quantification of …

Generally, the static and dynamic reliabilities of structures are addressed separately in the
existing methods except the computationally expensive stochastic sampling-based …

Reconstruction of structural health monitoring data is a challenging task, since it involves
time series data forecasting especially in the case with a large block of missing data. In this …

This paper presents a review of structural dynamic model updating techniques. Starting with
a tutorial introduction of basic concepts of model updating, the paper reviews direct and …

The advancement in structural health monitoring (SHM) technology has been evolving from
monitoring-based diagnosis to monitoring-based prognosis. The structural stress response …

Computer-aided engineering (CAE) is now an essential instrument that aids in engineering
decision-making. Statistical model calibration and validation has recently drawn great …