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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

Adaptive Bridging of Scales in Continuum Modeling Based on Error Control

Volume 6, Edição 4, 2008, pp. 371-392
DOI: 10.1615/IntJMultCompEng.v6.i4.80
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RESUMO

The common approach of spatial homogenization for resolving strong material heterogeneity is based on complete scale separation. The other extreme approach is to completely resolve the fine scale(s) in the macroscale computation. In this paper, we propose a novel algorithm for scaletransition such that the two extremes presented above are bridged in a "seamless" fashion. An important ingredient is a generalized macrohomogeneity condition. As part of the algorithm, the approach to the subscale modeling is chosen adaptively based on the relation of the macroscale mesh diameter to the typical length scale of the subscale structure. Moreover, the macroscale mesh adaptivity is driven by an estimation of discretization errors, which is an absolutely essential feature. Numerical examples, although quite simple, illustrate the principle and the effectivity of the adaptive procedure.

CITADO POR
  1. Larsson Fredrik, Runesson Kenneth, Su Fang, Variationally consistent computational homogenization of transient heat flow, International Journal for Numerical Methods in Engineering, 2009. Crossref

  2. Larsson Fredrik, Runesson Kenneth, Su Fang, Computational homogenization of uncoupled consolidation in micro-heterogeneous porous media, International Journal for Numerical and Analytical Methods in Geomechanics, 34, 14, 2010. Crossref

  3. Larsson Fredrik, Runesson Kenneth, On two-scale adaptive FE analysis of micro-heterogeneous media with seamless scale-bridging, Computer Methods in Applied Mechanics and Engineering, 200, 37-40, 2011. Crossref

  4. Su Fang, Larsson Fredrik, Runesson Kenneth, Computational homogenization of coupled consolidation problems in micro-heterogeneous porous media, International Journal for Numerical Methods in Engineering, 88, 11, 2011. Crossref

  5. Fish Jacob, Filonova Vasilina, Fafalis Dimitrios, Computational continua revisited, International Journal for Numerical Methods in Engineering, 102, 3-4, 2015. Crossref

  6. Memarnahavandi Arash, Larsson Fredrik, Runesson Kenneth, A goal-oriented adaptive procedure for the quasi-continuum method with cluster approximation, Computational Mechanics, 55, 4, 2015. Crossref

  7. Svenning Erik, Larsson Fredrik, Fagerström Martin, Two-scale modeling of fracturing solids using a smeared macro-to-micro discontinuity transition, Computational Mechanics, 60, 4, 2017. Crossref

  8. Bishop Joseph E., Brown Judith A., Adaptive reduction of constitutive model-form error using a posteriori error estimation techniques, Computer Methods in Applied Mechanics and Engineering, 340, 2018. Crossref

  9. Ekre Fredrik, Larsson Fredrik, Runesson Kenneth, On error controlled numerical model reduction in FE 2 ‐analysis of transient heat flow , International Journal for Numerical Methods in Engineering, 119, 1, 2019. Crossref

  10. Ekre Fredrik, Larsson Fredrik, Runesson Kenneth, Jänicke Ralf, A posteriori error estimation for numerical model reduction in computational homogenization of porous media, International Journal for Numerical Methods in Engineering, 121, 23, 2020. Crossref

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