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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

SOLVING COUPLED PROBLEMS OF LUMPED PARAMETER MODELS IN A PLATFORM FOR SEVERE ACCIDENTS IN NUCLEAR REACTORS

Volume 16, Edição 6, 2018, pp. 555-577
DOI: 10.1615/IntJMultCompEng.2018025643
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RESUMO

Coupled problems of lumped parameter models are of interest for the simulation of severe accidents in nuclear reactors at system levels. These coarse-grained models allow for both quick statistical analysis used for risk assessment and solutions of large problems when considering the whole severe accident scenario. However, this modeling approach has several numerical flaws. In this industrial context, computational efficiency is of great importance, leading to various numerical constraints. The objective of this research is to analyze the applicability of explicit coupling strategies to solve such coupled problems and to design implicit coupling schemes allowing stable and accurate computations. The proposed schemes are theoretically analyzed and tested within CEA's PROCOR platform on a problem of heat conduction and ablation that is representative of severe accidents in light water reactors. This problem is solved with coupled 0D lumped parameter models and coupled 1D models. Numerical results are discussed about the benefits of using the designed coupling schemes instead of the usual explicit coupling schemes.

CITADO POR
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  2. Wang Hui, Duan Menglan, An Chen, Su Jian, Lumped parameter thermal analysis of multilayered composite pipe with MicroPCM particles, Composite Structures, 260, 2021. Crossref

  3. Drouillet Adrien, Le Tellier Romain, Loubère Raphaël, Peybernes Mathieu, Viot Louis, Multi-dimensional Simulation of Phase Change by a 0D-2D Model Coupling via Stefan Condition, Communications on Applied Mathematics and Computation, 2021. Crossref

  4. Eguillon Yohan, Lacabanne Bruno, Tromeur-Dervout Damien, F$$_3$$ORNITS : a flexible variable step size non-iterative co-simulation method handling subsystems with hybrid advanced capabilities, Engineering with Computers, 2022. Crossref

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