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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 1940-4352

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: 1.4 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: 1.3 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: 2.2 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: 0.00034 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: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

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Preface
SPECIAL ISSUE
MULTISCALE MODELING AND UNCERTAINTY QUANTIFICATION OF HETEROGENEOUS MATERIALS

巻 9, 発行 4, 2011, pp. vii-viii
DOI: 10.1615/IntJMultCompEng.v9.i4.10
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要約

The papers for this special issue are included in Volume 9, Issues 3 and 4, 2011 of International Journal for Multiscale Computational Engineering and will focus on multiscale modeling and uncertainty quantification of heterogeneous materials. Particular emphasis is given to advanced computational methods which can greatly assist in tackling complex problems of multiscale stochastic material modeling. The papers can be grouped into several thematic topics that include homogenization and computation of effective elastic properties of random composites, development of computational models for large-scale heterogeneous microstructures, stochastic analysis and design of heterogeneous materials, and multiscale models for the simulation of fracture mechanisms in polycrystalline materials.

    The first part which is published in Volume 9, Issue 3 includes the following articles.
  • Homogenization of Fiber-Reinforced Composites with Random Properties Using the Least-Squares Response Function Approach, M. Kaminski
  • Large-Scale Computations of Effective Elastic Properties of Rubber with Carbon Black, Fillers, A. Jean, F. Willot, S. Cantournet, S. Forest, and D. Jeulin
  • Elastic and Electrical Behavior of Some Random Multiscale Highly-Contrasted Composites, F. Willot and D. Jeulin
  • Overall Elastic Properties of Polysilicon Films: A Statistical Investigation of the Effects of Polycrystal Morphology, S. Mariani, R. Martini, A. Ghisi, A. Corigliano, and M. Beghi
  • Variational Formulation on Effective Elastic Moduli of Randomly Cracked Solids, X. F. Xu and G. Stefanou
The second part of the special issue consists of eight papers dealing with the development of computational models for large-scale heterogeneous microstructures, the stochastic analysis and design of heterogeneous materials, and multiscale models for the simulation of fracture mechanisms in poly-crystalline materials.

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