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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

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A COUPLED THERMO-CHEMO-MECHANICAL REDUCED-ORDER MULTISCALE MODEL FOR PREDICTING RESIDUAL STRESSES IN FIBRE REINFORCED SEMI-CRYSTALLINE POLYMER COMPOSITES

Volume 18, Issue 5, 2020, pp. 519-546
DOI: 10.1615/IntJMultCompEng.2020035881
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ABSTRACT

We study residual stresses and strength induced by a manufacturing process of carbon fiber reinforced semi-crystalline polymer matrix composites and subsequent mechanical loading. Reduced-order homogenization (ROH) approach has been employed to address tremendous computational complexity stemming from analyzing complex thermo-chemo-mechanical processes at multiple scales. The proposed reduced-order two-scale thermo-chemo-mechanical model has been verified against a high-fidelity model based on the direct first-order computational homogenization (FOCH) approach. It has been shown that for problems considered herein the ROH offers a speed-up in terms of CPU time over FOCH of three orders of magnitude.

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