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International Journal for Multiscale Computational Engineering

Publicado 6 números por año

ISSN Imprimir: 1543-1649

ISSN En Línea: 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

Indexed in

RANDOM WALK SIMULATION MODEL OF DIFFUSION IN CIRCULAR AND ELLIPTICAL PARTICULATE COMPOSITES

Volumen 16, Edición 2, 2018, pp. 131-142
DOI: 10.1615/IntJMultCompEng.2018020278
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SINOPSIS

We developed a random walk model for solving the diffusion problem arising from composite materials of particulate inclusions with different shapes. Our two-phase material system contains circular or elliptical impermeable inclusions that are randomly embedded in a matrix material. A computational algorithm was developed for random walk simulation of molecules and to estimate the effective diffusion coefficient of the composites. The random walk model has been validated by solutions from finite element analysis and effective medium theories. Our computational results show that the density of random distribution and the volume fraction of inclusions have significant effects on effective diffusion coefficients. Moreover, the aspect ratio of inclusions can significantly reduce diffusion speed when the volume fraction of inclusions is greater than? 30%.

CITADO POR
  1. Bini Fabiano, Pica Andrada, Marinozzi Andrea, Marinozzi Franco, 3D random walk model of diffusion in human Hypo- and Hyper- mineralized collagen fibrils, Journal of Biomechanics, 125, 2021. Crossref

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