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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

Indexed in

A Multi-Time-Scale Strategy for Multiphysics Problems: Application to Poroelasticity

Volume 1, Numéro 4, 2003, 14 pages
DOI: 10.1615/IntJMultCompEng.v1.i4.50
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RÉSUMÉ

Usually, multiphysics phenomena and coupled-field problems lead to computationally intensive structural analysis. Strategies to keep these problems computationally affordable are of special interest. For coupled fluid-structure problems, for instance, partitioned procedures and staggered algorithms are often preferable to direct analysis.
In a previous article, a new strategy derived from the LArge Time INcrement (LATIN) method was described. This strategy was applied to the consolidation of saturated porous soils, which is a highly coupled fluid-solid problem. The feasibility of the method and the comparison of its performance with that of a standard partitioning scheme (the so-called ISPP method) was presented.
Here, we go one step further and use the LATIN method to take into account the different time scales that usually arise from the different physics. We propose a multi-time-scale strategy, which improves the existing method.

CITÉ PAR
  1. Néron D., Dureisseix D., A computational strategy for thermo-poroelastic structures with a time-space interface coupling, International Journal for Numerical Methods in Engineering, 75, 9, 2008. Crossref

  2. Néron D., Dureisseix D., A computational strategy for poroelastic problems with a time interface between coupled physics, International Journal for Numerical Methods in Engineering, 73, 6, 2008. Crossref

  3. Kim J., Tchelepi H.A., Juanes R., Stability and convergence of sequential methods for coupled flow and geomechanics: Fixed-stress and fixed-strain splits, Computer Methods in Applied Mechanics and Engineering, 200, 13-16, 2011. Crossref

  4. Chinesta Francisco, Ladeveze Pierre, Cueto Elías, A Short Review on Model Order Reduction Based on Proper Generalized Decomposition, Archives of Computational Methods in Engineering, 18, 4, 2011. Crossref

  5. 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

  6. Hayhurst D. R., Kedward K. T., Soh H. T., Turner K. L., Innovation-led multi-disciplinary undergraduate design teaching, Journal of Engineering Design, 23, 3, 2012. Crossref

  7. Néron David, Ladevèze Pierre, Proper Generalized Decomposition for Multiscale and Multiphysics Problems, Archives of Computational Methods in Engineering, 17, 4, 2010. Crossref

  8. Chinesta Francisco, Huerta Antonio, Rozza Gianluigi, Willcox Karen, Model Reduction Methods, in Encyclopedia of Computational Mechanics Second Edition, 2017. Crossref

  9. Dureisseix David, Two examples of partitioning approaches for multiscale and multiphysics coupled problems, European Journal of Computational Mechanics, 17, 5-7, 2008. Crossref

  10. Néron David, Ladevèze Pierre, Dureisseix David, Schrefler Bernard A., Accounting for Nonlinear Aspects in Multiphysics Problems: Application to Poroelasticity, in Computational Science - ICCS 2004, 3039, 2004. Crossref

  11. Néron David, Ladevèze Pierre, Schrefler Bernhard A., A time-space framework suitable for the LATIN computational strategy for multiphysics problems, in III European Conference on Computational Mechanics, 2006. Crossref

  12. Scanff R., Nachar S., Boucard P. -A., Néron D., A Study on the LATIN-PGD Method: Analysis of Some Variants in the Light of the Latest Developments, Archives of Computational Methods in Engineering, 28, 5, 2021. Crossref

  13. Scanff Ronan, Néron David, Ladevèze Pierre, Barabinot Philippe, Cugnon Frédéric, Delsemme Jean-Pierre, Weakly-invasive LATIN-PGD for solving time-dependent non-linear parametrized problems in solid mechanics, Computer Methods in Applied Mechanics and Engineering, 396, 2022. Crossref

  14. Gai X., Sun S., Wheeler M. F., Klie H., A Timestepping Scheme for Coupled Reservoir Flow and Geomechanics on Nonmatching Grids, All Days, 2005. Crossref

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