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International Journal for Multiscale Computational Engineering

年間 6 号発行

ISSN 印刷: 1543-1649

ISSN オンライン: 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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Parallel Computational Strategies for Multicontact Problems: Applications to Cellular and Granular Media

巻 1, 発行 4, 2003, 12 pages
DOI: 10.1615/IntJMultCompEng.v1.i4.70
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要約

In this article, we compare strategies for introducing parallelism in solving multicontact problems. Two typical problems are distinguished, to emphasize both common and different features, in terms of mechanical modeling, mathematical formulation, and numerical solutions. These two parallel computational approaches are tested on two applications: cellular and granular media. It shows that two different problems using similar equations may lead to the adoption of two very different strategies in order to be efficient: either a sophisticated approach based on a domain decomposition method, or a multithreading procedure that is easy to carry out. The challenges in these research fields reveal the potential of parallel computing.

によって引用された
  1. Renouf Mathieu, Alart Pierre, Conjugate gradient type algorithms for frictional multi-contact problems: applications to granular materials, Computer Methods in Applied Mechanics and Engineering, 194, 18-20, 2005. Crossref

  2. Alart Pierre, Dureisseix David, A scalable multiscale LATIN method adapted to nonsmooth discrete media, Computer Methods in Applied Mechanics and Engineering, 197, 5, 2008. Crossref

  3. Ladevèze Pierre, Néron David, Gosselet Pierre, On a mixed and multiscale domain decomposition method, Computer Methods in Applied Mechanics and Engineering, 196, 8, 2007. Crossref

  4. Koziara T., Bićanić N., A distributed memory parallel multibody Contact Dynamics code, International Journal for Numerical Methods in Engineering, 87, 1-5, 2011. Crossref

  5. Nineb Shéhérazade, Alart Pierre, Dureisseix David, Domain decomposition approach for non-smooth discrete problems, example of a tensegrity structure, Computers & Structures, 85, 9, 2007. Crossref

  6. Perales Frederic, Dubois Frederic, Monerie Yann, Piar Bruno, Stainier Laurent, A NonSmooth Contact Dynamics-based multi-domain solver, European Journal of Computational Mechanics, 19, 4, 2010. Crossref

  7. Iceta Damien, Alart Pierre, Dureisseix David, A Multilevel Domain Decomposition Solver Suited to Nonsmooth Mechanical Problems, in Domain Decomposition Methods in Science and Engineering XVIII, 70, 2009. Crossref

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