Results 181 to 190 of about 3,355 (214)

An arbitrary polynomial chaos expansion approach for response analysis of acoustic systems with epistemic uncertainty

open access: yesComputer Methods in Applied Mechanics and Engineering, 2018
© 2017 Elsevier B.V. By introducing the arbitrary polynomial chaos theory, the Evidence-Theory-based Arbitrary Polynomial Chaos Expansion Method (ETAPCEM) is proposed to improve the computational accuracy of polynomial chaos expansion methods for the ...
Shengwen Yin, Dejie Yu, Zhen Luo
exaly   +2 more sources

Bayesian sparse polynomial chaos expansion for global sensitivity analysis

open access: yesComputer Methods in Applied Mechanics and Engineering, 2017
International audiencePolynomial chaos expansions are frequently used by engineers and modellers for uncertainty and sensitivity analyses of computer models. They allow representing the input/output relations of computer models.
Qian Shao, Anis Younes, Marwan Fahs
exaly   +2 more sources

Polynomial Chaos Expansions for Stiff Random ODEs

SIAM Journal on Scientific Computing, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wenjie Shi, Daniel M. Tartakovsky
openaire   +2 more sources

On the guaranteed accuracy of Polynomial Chaos Expansions

IEEE Conference on Decision and Control and European Control Conference, 2011
This paper is concerned with the efficient simulation of stochastic nonlinear dynamical systems. A technique based on Polynomial Chaos Expansion (PCE) theory is used, in order to estimate the time evolution of the stochastic properties of the variables of interest.
Lorenzo Fagiano   +2 more
openaire   +3 more sources

Multivariate Polynomial Chaos Expansions with Dependent Variables

SIAM Journal on Scientific Computing, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jonathan Feinberg   +2 more
openaire   +1 more source

Stochastic model reduction for polynomial chaos expansion of acoustic waves using proper orthogonal decomposition

open access: yesReliability Engineering and System Safety, 2020
We propose a non-intrusive stochastic model reduction method for polynomial chaos representation of acoustic problems using proper orthogonal decomposition.
Nabil El Mocayd   +2 more
exaly   +3 more sources

Polynomial chaos expansion with random and fuzzy variables

open access: yesMechanical Systems and Signal Processing, 2016
A dynamical uncertain system is studied in this paper. Two kinds of uncertainties are addressed, where the uncertain parameters are described through random variables and/or fuzzy variables.
E Jacquelin   +2 more
exaly   +2 more sources

Adapted polynomial chaos expansion for failure detection

Journal of Computational Physics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meinhard Paffrath, Utz Wever
openaire   +2 more sources

Extending bluff-and-fix estimates for polynomial chaos expansions

Journal of Computational Science, 2021
Abstract Polynomial chaos methods, which are part of a broader class known as stochastic Galerkin schemes, can be used to approximate the solution to a PDE with uncertainties represented by stochastic inputs or parameters. The stochastic solution is expressed as an infinite polynomial expansion truncated to M + 1 terms. The approach is then
Laura Lyman, Gianluca Iaccarino
openaire   +1 more source

Influence of Polynomial Chaos expansion order on an uncertain asymmetric rotor system response

open access: yesMechanical Systems and Signal Processing, 2015
A stochastic harmonic balance method with a recursive procedure is developed to evaluate the steadystateresponse of a rotor system with uncertain stiffness and asymmetric coupling that involves time dependent terms. The Polynomial Chaos (PC) expansion is
J -J Sinou, E Jacquelin
exaly   +2 more sources

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