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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

Indexed in

Scaling Up of an Underground Waste Disposal Model with Random Source Terms

巻 6, 発行 4, 2008, pp. 309-325
DOI: 10.1615/IntJMultCompEng.v6.i4.30
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要約

In this paper, we study the global behavior of an underground waste disposal in order to obtain an accurate upscaled model suitable for the computations involved in safety assessment processes. The disposal is made of a high number of modules containing the waste material. One supposes that the modules or disposal units are periodicaly distributed and that each disposal unit leaks randomly. Recent theoretical works, by use of a combination of classical homogenization and probability theories, allow to derive a global model where only one deterministic leaking source is considered. We propose, using these theoretical results, to give a numerical approach for a such multiscale problem to obtain solutions of the deterministic problem and the first-order statistical moments.

によって引用された
  1. Bourgeat Alain, Piatnitski Andrey L., Averaging of a Singular Random Source Term in a Diffusion Convection Equation, SIAM Journal on Mathematical Analysis, 42, 6, 2010. Crossref

  2. Amaziane Brahim, Jurak Mladen, Vrbaški Anja, Homogenization results for a coupled system modelling immiscible compressible two-phase flow in porous media by the concept of global pressure, Applicable Analysis, 92, 7, 2013. Crossref

  3. Amaziane Brahim, Pankratov Leonid, Homogenization of a model for water-gas flow through double-porosity media, Mathematical Methods in the Applied Sciences, 39, 3, 2016. Crossref

  4. Amaziane B., Pankratov L., Homogenization of compressible two-phase two-component flow in porous media, Nonlinear Analysis: Real World Applications, 30, 2016. Crossref

  5. Amaziane Brahim, Pankratov Leonid, Piatnitski Andrey, An improved homogenization result for immiscible compressible two-phase flow in porous media, Networks & Heterogeneous Media, 12, 1, 2017. Crossref

  6. Amaziane B., Pankratov L., Piatnitski A., Homogenization of immiscible compressible two–phase flow in random porous media, Journal of Differential Equations, 305, 2021. Crossref

  7. Ahusborde E., Amaziane B., Jurak M., Three-dimensional numerical simulation by upscaling of gas migration through engineered and geological barriers for a deep repository for radioactive waste, Geological Society, London, Special Publications, 415, 1, 2015. Crossref

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