Πλοήγηση ανά Θέμα "UPDATING MODELS"
Αποτελέσματα 1-4 από 4
-
Bayesian uncertainty quantification and propagation in molecular dynamics simulations: A high performance computing framework
(2012)We present a Bayesian probabilistic framework for quantifying and propagating the uncertainties in the parameters of force fields employed in molecular dynamics (MD) simulations. We propose a highly parallel implementation ... -
Multi-objective framework for structural model identification
(2005)Structural identification based on measured dynamic data is formulated in a multi-objective context that allows the simultaneous minimization of the various objectives related to the fit between measured and model predicted ... -
Optimal sensor placement methodology for parametric identification of structural systems
(2004)Theoretical and computational issues arising in the selection of the optimal sensor configuration for parameter estimation in structural dynamics are addressed. The information entropy, measuring the uncertainty in the ... -
Pi 4U: A high performance computing framework for Bayesian uncertainty quantification of complex models
(2015)We present Pi 4U,(1) an extensible framework, for non-intrusive Bayesian Uncertainty Quantification and Propagation (UQ+P) of complex and computationally demanding physical models, that can exploit massively parallel ...