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International Journal for Multiscale Computational Engineering

Publication de 6  numéros par an

ISSN Imprimer: 1543-1649

ISSN En ligne: 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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SPECIAL ISSUE
Multi-Modelling, Transmissions and Associated Numerical Methodologies
Prefase

Volume 6, Numéro 3, 2008, vii pages
DOI: 10.1615/IntJMultCompEng.v6.i3.10
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RÉSUMÉ

Multimodel and multiscale methods are critical for the analysis of defects in the form of distributed cracking (damage) or discrete cracks as well as for simulation of multiphysics problems and the design of complex engineering systems. Development of multiscale methods generated significant interest in the computational engineering community in the past decade. Among the barriers that need to be overcome are the development of rigorous interscale transfer operators and supporting numerical methodologies. The five articles comprising this special issue address various elements of the multimodel, multiphysics, and multiscale approaches.
The article by Ammar, Chinesta, and Joyot addresses various aspects of the numerical modeling and computation of electronic structures. It provides an overview of the computational challenges and development efforts in computational physics and mechanics of materials at nanoscale. The article addresses the dimensionality issue. The development of methods bridging different models and scales is essential to make the multiscale models computationally tractable. The Arlequin method provides a framework for communication between various models and scales; in the article by Ben Dhia, the Arlequin modeling paradigm is presented and analyzed. The parameters of this methodology are investigated through the mathematical analysis of the representative Arlequin problem. Nearly optimal Arlequin parameters (like the partition of energies functions, the coupling operators, etc.) are identified. The Arlequin method provides the framework for coupling continuum models as well for linking atomistic and continuum models. The article by Dureisseix and Neron provides the domain decomposition framework for simulation of steady state porohermoelasticity problems in which the spatial scales are different. A variant of the periodic homogenization method and a multiscale surface transfer operator based on the mortar-like transmission technique are developed. The issue of an effective solution of the discrete system of equations arising from the nonlinear multimodel is addressed within the framework of the FETI dual domain decomposition method for nonlinear problems by Pebrel, Rey, and Gosselet. The effectiveness of this methodology is verified by several numerical examples. The temporal multiscale problem is considered in the article by Rodrigues, in which the space-time local mesh refinement technique for elastodynamics is developed. Different time steps are used in various spatial regions. The accuracy and stability of the proposed formulation are studied. Of particular interest is a post-processing strategy that removes the so-called aliasing phenomena while enhancing the accuracy of the time-stepping scheme.
We hope that the special issue will be of interest to the computational engineering community concerned with the modeling and simulation of multimodel, multiphysics, and multiscale problems.

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