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

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

A new probabilistic finite element (FE) model updating technique based on Hierarchical
Bayesian modeling is proposed for identification of civil structural systems under changing …

Interval model updating in the presence of irreducible uncertain measured data is defined
and solutions are made available for two cases. In the first case, the parameter vertex …

The usual model updating method may be considered to be deterministic since it uses
measurements from a single test system to correct a nominal finite element model. There …

The problem of model updating in the presence of test-structure variability is addressed.
Model updating equations are developed using the sensitivity method and presented in a …

In this study, a general frame of the forward and inverse structural uncertainty propagations
(UPs) based on the dimension reduction (DR) method and the derivative lambda probability …

Deep learning technology can fit the nonlinear relations between different logging
sequences. It solves the prediction problems that cannot be effectively disposed by …

In this paper, an improved perturbation method is developed for the statistical identification
of structural parameters by using the measured modal parameters with randomness. On the …

Field inventoried data are often used as references (ground truth) in forest remote sensing
studies. However, the reference values are affected by various kinds of errors, which tend to …