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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

Multiscale Model for Temperature Distribution in Hydrating Concretee

Volume 7, Edição 2, 2009, pp. 135-151
DOI: 10.1615/IntJMultCompEng.v7.i2.50
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RESUMO

Temperature rise in hydrating concrete presents a formidable problem that may lead to significant acceleration of hydration kinetics, early-age cracking, and decreased durability. Multiscale formulation is proposed, coupling a cement hydration model on the microscale with the finite element method (FEM) heat conduction problem on the macroscale. Particularly, discrete hydration model predicts heat evolution controlled by macroscale temperature, while the FEM satisfies heat balance equation during thermal conduction. Two- and three-dimensional validations show a reasonable temperature conformity with an access to the local quantities, such as a degree of hydration.

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