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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

TWO-SCALE NUMERICAL HOMOGENIZATION OF THE CONSTITUTIVE PARAMETERS OF REACTIVE POWDER CONCRETE

Volume 12, Numéro 5, 2014, pp. 361-374
DOI: 10.1615/IntJMultCompEng.2014010181
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RÉSUMÉ

The paper is concerned with the modeling of reactive powder concrete (RPC) by using the method of numerical homogenization. More specifically, a two-scale modeling approach and the finite element method are used. The behavior of a model of RPC on the macro scale is described on the basis of the phenomena occurring in the microstructure of the material. The applied approach makes it possible to take into account the microstructure of material as concerns the different mechanical properties of its constituents. The method does not require any knowledge of the constitutive equations at the macro level, which are determined implicitly by solving a boundary value problem for a representative volume element (RVE) of RPC on the micro level. In order to determine the constitutive equations on the macro scale it is necessary to know the layout of microstructure, the constitutive equations at the micro level, and their parameters. In this contribution the response of each of the concrete constituents (cement matrix, sand, crushed quartz) is assumed to be elastic. The microstructure of RPC concrete is randomly generated. A computer program for the two-scale homogenization of 2D disks has been developed and numerical results for micro and micromacro test problems are presented. Further studies of the considered problem, including also laboratory experiments, are under way.

CITÉ PAR
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  2. Bai Guo-liang, Du Ning-jun, Xu Ya-zhou, Qin Chao-gang, Study on the Thermal Properties of Hollow Shale Blocks as Self-Insulating Wall Materials, Advances in Materials Science and Engineering, 2017, 2017. Crossref

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