Uncertainty analysis of a structural–acoustic problem using imprecise probabilities based on p-box representations

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  • Hunan University
  • University of Liverpool
  • Tongji University
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Original languageEnglish
Pages (from-to)45-57
Number of pages13
JournalMechanical Systems and Signal Processing
Volume80
Early online date13 Apr 2016
Publication statusPublished - 1 Dec 2016

Abstract

Imprecise probabilities can capture epistemic uncertainty, which reflects limited available knowledge so that a precise probabilistic model cannot be established. In this paper, the parameters of a structural–acoustic problem are represented with the aid of p-boxes to capture epistemic uncertainty in the model. To perform the necessary analysis of the structural–acoustic problem with p-boxes, a first-order matrix decomposition perturbation method (FMDPM) for interval analysis is proposed, and an efficient interval Monte Carlo method based on FMDPM is derived. In the implementation of the efficient interval Monte Carlo method based on FMDPM, constant matrices are obtained, first, through an uncertain parameter extraction on the basis of the matrix decomposition technique. Then, these constant matrices are employed to perform multiple interval analyses by using the first-order perturbation method. A numerical example is provided to illustrate the feasibility and effectiveness of the presented approach.

Keywords

    Epistemic uncertainty, Finite element method (FEM), Interval analysis, Monte Carlo simulation, p-box

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Uncertainty analysis of a structural–acoustic problem using imprecise probabilities based on p-box representations. / Chen, Ning; Yu, Dejie; Xia, Baizhan et al.
In: Mechanical Systems and Signal Processing, Vol. 80, 01.12.2016, p. 45-57.

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abstract = "Imprecise probabilities can capture epistemic uncertainty, which reflects limited available knowledge so that a precise probabilistic model cannot be established. In this paper, the parameters of a structural–acoustic problem are represented with the aid of p-boxes to capture epistemic uncertainty in the model. To perform the necessary analysis of the structural–acoustic problem with p-boxes, a first-order matrix decomposition perturbation method (FMDPM) for interval analysis is proposed, and an efficient interval Monte Carlo method based on FMDPM is derived. In the implementation of the efficient interval Monte Carlo method based on FMDPM, constant matrices are obtained, first, through an uncertain parameter extraction on the basis of the matrix decomposition technique. Then, these constant matrices are employed to perform multiple interval analyses by using the first-order perturbation method. A numerical example is provided to illustrate the feasibility and effectiveness of the presented approach.",
keywords = "Epistemic uncertainty, Finite element method (FEM), Interval analysis, Monte Carlo simulation, p-box",
author = "Ning Chen and Dejie Yu and Baizhan Xia and Michael Beer",
note = "Funding Information: The paper is supported by National Natural Science Foundation of China (No. 11572121 ), Independent Research Project of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body in Hunan University (Grant no. 71375004 ), and Hunan Provincial Innovation Foundation for Postgraduate ( CX2014B147 ). ",
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AU - Chen, Ning

AU - Yu, Dejie

AU - Xia, Baizhan

AU - Beer, Michael

N1 - Funding Information: The paper is supported by National Natural Science Foundation of China (No. 11572121 ), Independent Research Project of State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body in Hunan University (Grant no. 71375004 ), and Hunan Provincial Innovation Foundation for Postgraduate ( CX2014B147 ).

PY - 2016/12/1

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N2 - Imprecise probabilities can capture epistemic uncertainty, which reflects limited available knowledge so that a precise probabilistic model cannot be established. In this paper, the parameters of a structural–acoustic problem are represented with the aid of p-boxes to capture epistemic uncertainty in the model. To perform the necessary analysis of the structural–acoustic problem with p-boxes, a first-order matrix decomposition perturbation method (FMDPM) for interval analysis is proposed, and an efficient interval Monte Carlo method based on FMDPM is derived. In the implementation of the efficient interval Monte Carlo method based on FMDPM, constant matrices are obtained, first, through an uncertain parameter extraction on the basis of the matrix decomposition technique. Then, these constant matrices are employed to perform multiple interval analyses by using the first-order perturbation method. A numerical example is provided to illustrate the feasibility and effectiveness of the presented approach.

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KW - Finite element method (FEM)

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