Πλοήγηση ανά Θέμα "Prediction errors"
Αποτελέσματα 1-7 από 7
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Adaptive Bayesian Inference Framework for Joint Model and Noise Identification
(2022)Model updating, the process of inferring a model from data, is prone to the adverse effects of modeling error, which is caused by simplification and idealization assumptions in the mathematical models. In this study, an ... -
Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties
(2020)A hierarchical Bayesian modeling (HBM) framework has recently been developed for estimating the uncertainties in the parameters of physics-based models of systems, as well as propagating these uncertainties to estimate the ... -
Estimation of the prediction error correlation model in bayesian model updating
(2013)In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, ... -
Hierarchical Bayesian Model Updating for Nonlinear Structures Using Response Time Histories
(2022)This paper presents a novel hierarchical Bayesian modeling (HBM) framework for the model updating and response predictions of dynamic systems with material nonlinearity using multiple data sets consisting of measured ... -
Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal features
(2022)The hierarchical Bayesian modeling (HBM) framework has recently been developed to tackle the uncertainty quantification and propagation in structural dynamics inverse problems. This new framework characterizes the ensemble ... -
Influence of the prediction error correlation model on Bayesian FE model updating results
(2012)Bayesian finite element (FE) model updating is a probabilistic method for uncertainty quantification in FE model updating, where the well-known Bayes' theorem is used to update probability density functions of model ... -
Nonlinear model updating through a hierarchical Bayesian modeling framework
(2022)A new time-domain probabilistic technique based on hierarchical Bayesian modeling (HBM) framework is proposed for calibration and uncertainty quantification of hysteretic type nonlinearities of dynamical systems. Specifically, ...