Πλοήγηση ανά Θέμα "Uncertainty propagation"
Αποτελέσματα 1-9 από 9
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An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly
(2020)Assembling local mode shapes identified from multiple setups to form global mode shapes is of practical importance when the degrees of freedom (dofs) of interest are measured separately in individual setups or when one ... -
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 ... -
Data-driven uncertainty quantification and propagation in structural dynamics through a hierarchical Bayesian framework
(2020)In the presence of modeling errors, the mainstream Bayesian methods seldom give a realistic account of uncertainties as they commonly underestimate the inherent variability of parameters. This problem is not due to any ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
Posterior robust optimization for design update based on measurements
(2015)A Bayesian unified framework is proposed for data-informed robust design optimization. Models of uncertainties postulated in conventional robust design optimization are treated as prior uncertainties in a Bayesian context. ... -
Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions
(2019)A new time-domain hierarchical Bayesian framework is proposed to improve the performance of Bayesian methods in terms of reliability and robustness of estimates particularly for uncertainty quantification and propagation ... -
Sensitivity analysis for uncertainty propagation and robust design
(2015)Three methodologies for uncertainty propagation and robust aerodynamic shape optimization are presented in this paper. These are the perturbation technique based on first and second-order Taylor expansion, the asymptotic ... -
Uncertainty analysis of computed flow rates and pressure differences in rarefied pressure and temperature driven gas flows through long capillaries
(2020)The computation of the mass flow rate in the Poiseuille and thermal creep flows and of the pressure difference in the thermomolecular pressure difference (TPD) flow through long capillaries is well-known and available in ... -
Uncertainty propagation for robust aerodynamic shape optimization
(2014)Three algorithms for uncertainty propagation and robust aerodynamic optimization are presented in this paper. The perturbation method based on first and second-order Taylor expansion, the asymptotic expansion based on ...