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Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Janya-anurak, Chettapong

In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort. The ...

Uncertainty quantification for multigroup diffusion equations using sparse tensor approximations

Jerez, Carlos

“Uncertainty Quantification and Advanced Boundary Element Methods for Electromagnetic Wave Scattering Problems”

Jerez, Carlos

Domain uncertainty quantification in computational electromagnetics.

Jerez Hanckes, Carlos

Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties

Piovan, Marcelo Tulio; Olmedo, J. F.; Sampaio, Rubens (Elsevier, 2015-12-01)

The objective of this paper is the evaluation of uncertainty propagation associated to several parameters in the dynamics of magneto-electro-elastic (MEE) curved beams. These MEE structures can be employed as imbedded parts ...

Quantification of parametric uncertainties induced by irregular soil loading in orchard tower sprayer nonlinear dynamics

Universidade do Estado do Rio de Janeiro (UERJ); Universidade Federal da Fronteira Sul; Universidade Estadual Paulista (Unesp); Praça Marechal Eduardo Gomes (2017-11-10)

This paper deals with the nonlinear stochastic dynamics of an orchard tower sprayer subjected to random excitations due to soil irregularities. A consistent stochastic model of uncertainties is constructed to describe ...

Dynamics of curved thin-walled composite beams: uncertainty quantification due to randomly distributed thermal/hygroscopic aspects

Piovan, Marcelo T.; Sampaio, Rubens (2017)

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Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Uncertainty quantification for multigroup diffusion equations using sparse tensor approximations

“Uncertainty Quantification and Advanced Boundary Element Methods for Electromagnetic Wave Scattering Problems”

Domain uncertainty quantification in computational electromagnetics.

Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties

Quantification of parametric uncertainties induced by irregular soil loading in orchard tower sprayer nonlinear dynamics

Dynamics of curved thin-walled composite beams: uncertainty quantification due to randomly distributed thermal/hygroscopic aspects

Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies

Uncertainty quantification in the dynamics of a guyed mast subjected to wind load

Damage detection in an uncertain nonlinear beam

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Filtros

Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

Uncertainty quantification for multigroup diffusion equations using sparse tensor approximations

“Uncertainty Quantification and Advanced Boundary Element Methods for Electromagnetic Wave Scattering Problems”

Domain uncertainty quantification in computational electromagnetics.

Dynamics of magneto electro elastic curved beams: Quantification of parametric uncertainties

Quantification of parametric uncertainties induced by irregular soil loading in orchard tower sprayer nonlinear dynamics

Dynamics of curved thin-walled composite beams: uncertainty quantification due to randomly distributed thermal/hygroscopic aspects

Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies

Uncertainty quantification in the dynamics of a guyed mast subjected to wind load

Damage detection in an uncertain nonlinear beam