Uncertainty management in parameter identification

Abstract – Visual uncertainty representation and communication during nuclear and radiological emergencies face empirical and theoretical challenges. The work carried out focuses

a number of their characteristics: nonlinear dynamics, potentially with a large number of parameters, limited and irregular experimental observations and uncertain inputs (such

Fixing a value for Z and α ov is commonly adopted for mode identification of B-stars (e.g., Handler et al. We illustrate the typical theoretical uncertainty on the amplitude ratios

The proposed approach helps the designer to deal with epistemic uncertainty in identifying required function, structure and behaviour of the system, in

The present study provides empirical evidence to the existence of two types of temporal uncertainty, that is knowledge uncertainty and data uncertainty, which have a distinct

The theoretical approach to assess the effect of parameter estimation uncertainty in ordinary Kriging presented in Part 1, which was shown to produce a bias and an increase

Based on literature, it may not be obvious how to employ Bayesian inference for parameter identification of elastoplastic models, if one is only familiar with identification

Uncertainty sources in the measurement and identification chain – such as sensors output, machine drift and frame transformation uncertainties – can be included in the model