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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 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

The Stochastic Interface Defects in Composite Materials Subjected to Aging Processes

Volume 7, Issue 4, 2009, pp. 371-380
DOI: 10.1615/IntJMultCompEng.v7.i4.90
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ABSTRACT

The main objective of this work is to propose a brand-new stochastic model of the interface defects appearing frequently between composite components. This model is based on the semicircular idealization of those defects and stochastic approximation of materials’ aging processes. Then, the stochastic interface defects so defined are located within the artificial interphase inserted between the existing constituents, the material properties (their probabilistic moments) of which are determined from the stochastic averaging rule. This interphase with the stochastic geometry and the stochastic material properties enables for further numerical homogenization of this composite in the microscale, if only a distribution of the assumed defects has the same probabilistic properties in each representative volume element.

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CITED BY
  1. References, in The Stochastic Perturbation Method for Computational Mechanics, 2013. Crossref

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