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International Journal for Multiscale Computational Engineering

Publicado 6 números por año

ISSN Imprimir: 1543-1649

ISSN En Línea: 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 Simulation Methods in Damage Prediction of Brittle and Ductile Materials

Volumen 8, Edición 1, 2010, pp. 17-36
DOI: 10.1615/IntJMultCompEng.v8.i1.30
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SINOPSIS

The damage and fracture behavior of technical as well as biological materials in engineering structures is nowadays often described by continuum damage theories or linear and nonlinear fracture mechanics on the macroscale. A major drawback of these approaches is their inability to consider the inherent microstructure of materials that governs the damage and fracture behavior. Although classical material models on the macroscale have the advantage to be easily applicable in simulations of large-scale engineering structures, the experimental determination of necessary material parameters, especially for the description of material damage effects, is demanding and often a direct identification of these parameters from experiments is not possible at all. Furthermore, these continuum-based models are not capable of explicitly describing all physical material effects, such as decohesion between grain and matrix material and the resulting microcrack evolution in cementitious materials. At the meso- and microscales, the material microstructure and therewith also the material heterogeneity on finer scales is described explicitly. Even with today's computational power, it is not affordable to simulate whole large structures on the meso- or microscale, and a coupling between models on different spatial scales (e.g., meso- and macroscale) becomes necessary. The resulting integrated multiscale models can be applied for the simulation of large-scale constructional components and to obtain detailed information on local microdamage effects at the same time.

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