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International Journal for Uncertainty Quantification

Publication de 6  numéros par an

ISSN Imprimer: 2152-5080

ISSN En ligne: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

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UNCERTAINTY QUANTIFICATION OF DETONATION THROUGH ADAPTED POLYNOMIAL CHAOS

Volume 10, Numéro 1, 2020, pp. 83-100
DOI: 10.1615/Int.J.UncertaintyQuantification.2020030630
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RÉSUMÉ

Mathematical models used to describe detonation consist usually of coupled nonlinear partial differential equations, with phenomena occurring at a multitude of scales. While numerical solutions of these problems require significant computational resources, the evolution of the physics along multiple spatial and temporal scales makes the associated predictions sensitive to fluctuations that are beyond normal experimental control. Modeling, characterizing, and propagating uncertainties in predictions of detonation dynamics exacerbates both the mathematical, algorithmic, and computational challenges. These challenges are addressed in the present paper by using basis adaptation in the context of polynomial chaos expansions. The multivariate Rosenblatt transformation is used to first map all the random variables to independent Gaussian variables, following which a rotation is affected on these Gaussians that is adapted to any specified quantity of interest. Thus, accurate estimates of statistical moments and even probability density functions are obtained at specified Lagrangian reference points.

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CITÉ PAR
  1. Ozturk Deniz, Kotha Shravan, Ghosh Somnath, An uncertainty quantification framework for multiscale parametrically homogenized constitutive models (PHCMs) of polycrystalline Ti alloys, Journal of the Mechanics and Physics of Solids, 148, 2021. Crossref

  2. Liao Hui, Liu Fuchun, Zhao Rui, Reliable Co-Prognosability of Decentralized Stochastic Discrete-Event Systems and a Polynomial-Time Verification, IEEE Transactions on Cybernetics, 52, 7, 2022. Crossref

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