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International Journal for Multiscale Computational Engineering

Publicou 6 edições por ano

ISSN Imprimir: 1543-1649

ISSN On-line: 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

Homogeneous Analysis of Periodic Assemblies of Elastoplastic Disks in Contact

Volume 1, Edição 4, 2003, 22 pages
DOI: 10.1615/IntJMultCompEng.v1.i4.30
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RESUMO

The objective of this article is to capture the macroscopic behavior of an assembly of elastic and inelastic disks in contact by means of a numerical homogenized constitutive relation. An important feature of this work is that the evolving yield surfaces at the macroscopic level are defined through a quasi-static frictional contact analysis of the microstructure composed of deformable elastic and inelastic disks by means of a parametric quadratic programming principle and its corresponding algorithm in numerical analysis. The flow rule and the hardening parameters needed for an elastic—plastic analysis at macroscopic level are directly obtained from the numerically constructed yield surfaces in a self-consistent manner. The generality of the algorithm for the homogeneous analysis is pointed out and, in principle, can be applied to any kind of nonlinear behavior affecting the representative volume element. Numerical examples are given to demonstrate the efficiency of the algorithm presented in this article.

CITADO POR
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  2. Boso D.P., Lefik M., Schrefler B.A., A multilevel homogenised model for superconducting strand thermomechanics, Cryogenics, 45, 4, 2005. Crossref

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