Sfoglia per Soggetto "Uncertainty quantification and propagation"
Items 1-11 di 11
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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 ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
(2013)A Bayesian uncertainty quantification and propagation (UQ&P) framework is presented for identifying nonlinear models of dynamic systems using vibration measurements of their components. The measurements are taken to be ... -
Bayesian uncertainty quantification and propagation in nonlinear structural dynamics
(2009)Nonlinear modelling and parametric identification of an experimental vehicle model, are employed in this paper. The composite structure of the vehicle model is split into a frame substructure and to four support substructures. ... -
Bayesian uncertainty quantification and propagation using adjoint techniques
(2014)This paper presents the Bayesian inference framework enhanced by analytical approximations for uncertainty quantification and propagation and parameter estimation. A Gaussian distribution is used to approximate the posterior ... -
Exploiting task-based parallelism in Bayesian Uncertainty Quantification
(2015)We introduce a task-parallel framework for non-intrusive Bayesian Uncertainty Quantification and Propagation of complex and computationally demanding physical models on massively parallel computing architectures. The ... -
Fast computing techniques for Bayesian uncertainty quantification in structural dynamics
(2013)A Bayesian probabilistic framework for uncertainty quantification and propagation in structural dynamics is reviewed. Fast computing techniques are integrated with the Bayesian framework to efficiently handle large-order ... -
Hierarchical Bayesian calibration and response prediction of a 10-story building model
(2019)This paper presents Hierarchical Bayesian model updating of a 10-story building model based on the identified modal parameters. The identified modal parameters are numerically simulated using a frame model (exact model) ... -
HIERARCHICAL BAYESIAN INFERENCE FOR QUANTIFICATION OF UNCERTAINTY IN MULTI LEVEL MODELS OF DYNAMICAL SYSTEMS
(2021)Calibration of model parameters is increasingly playing a key role in the process of accurately predicting the responses of full-scale dynamical systems. Such systems often exhibit complexities arising from the assembling ... -
Nonlinear gear transmission system numerical dynamic analysis and experimental validation
(2014)The main objective of the present work was to accurately predict the dynamic response of a gear transmission system. First, a nonlinear mathematical model is introduced. In this model, the housing of the gearbox is modeled ... -
Quantification of aleatory uncertainty in modal updating problems using a new hierarchical Bayesian framework
(2019)Identification of structural damage requires reliable assessments of damage-sensitive quantities, including natural frequencies, mode shapes, and damping ratios. Lack of knowledge about the correct value of these parameters ... -
Statistics-based Bayesian modeling framework for uncertainty quantification and propagation
(2022)A new Bayesian modeling framework is proposed to account for the uncertainty in the model parameters arising from model and measurements errors, as well as experimental, operational, environmental and manufacturing ...