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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

Indexed in

STOCHASTIC MODELING OF MAGNETIC HYSTERETIC PROPERTIES BY USING MULTIVARIATE RANDOM FIELDS

Volume 9, Numéro 1, 2019, pp. 85-102
DOI: 10.1615/Int.J.UncertaintyQuantification.2019025638
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RÉSUMÉ

In this paper a methodology is presented to model uncertainties in the hysteresis law of ferromagnetic materials. The uncertainties may arise, for example, from manufacturing imperfections. A phenomenological type of model, known as the Duhem model, is introduced to model the hysteretic properties. The Duhem model is described via two material functions and one scalar parameter. Random fields are used to incorporate uncertainties into the material law. The random field is discretized with a minimal number of random variables by the truncated Karhunen-Loève expansion. Subsequently, the presented stochastic Duhem model is used to compute the statistics of the hysteresis loss in a simple toroidal single-phase transformer for illustration purposes.

CITÉ PAR
  1. Loukrezis Dimitrios, Galetzka Armin, De Gersem Herbert, Robust adaptive least squares polynomial chaos expansions in high‐frequency applications, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 33, 6, 2020. Crossref

  2. De Gersem Herbert, Galetzka Armin, Ion Ion Gabriel, Loukrezis Dimitrios, Romer Ulrich, Magnetic Field Simulation With Data-Driven Material Modeling, IEEE Transactions on Magnetics, 56, 8, 2020. Crossref

  3. Römer Ulrich, Bertsch Lothar, Mulani Sameer B., Schäffer Beat, Uncertainty Quantification for Aircraft Noise Emission Simulation: Methods and Limitations, AIAA Journal, 60, 5, 2022. Crossref

  4. Römer Ulrich, Liu Jintian, Böl Markus, Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior, International Journal for Numerical Methods in Biomedical Engineering, 38, 4, 2022. Crossref

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