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International Journal for Multiscale Computational Engineering

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ISSN Печать: 1543-1649

ISSN Онлайн: 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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A REDUCED COMPUTATIONAL MODEL FOR PREDICTION OF ELECTRICAL RESISTANCE IN FIBROUS COMPOSITES

Том 12, Выпуск 5, 2014, pp. 451-463
DOI: 10.1615/IntJMultCompEng.2014011193
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Краткое описание

The effective conductivity of a fibrous composite is investigated using the Monte Carlo simulation scheme and the finite-element method. The conductive fibers are modeled as randomly distributed resistors in a nonconductive matrix. The gap elements are constructed between neighboring fibers to model the interfiber contact. The resistance of a gap element is defined as a function of the gap distance and the contact area. The quantitative analysis is performed on the basis of an equivalent resistor network, and the relationships between the overall conductivity and various geometric parameters such as the volume fraction, the fiber aspect ratio, the fiber orientation angle, the tunneling effect, and the fiber length distribution, have been studied. The key results such as the percolation thresholds have been validated by the data reported in the literature. Compared to the full three-dimensional simulations, the reduced model presented in this work is computationally more efficient and can be used in other applications as well.

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