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International Journal for Multiscale Computational Engineering

Erscheint 6 Ausgaben pro Jahr

ISSN Druckformat: 1543-1649

ISSN Online: 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

STRUCTURE/MATERIAL CONCURRENT OPTIMIZATION OF LATTICE MATERIALS BASED ON EXTENDED MULTISCALE FINITE ELEMENT METHOD

Volumen 13, Ausgabe 1, 2015, pp. 73-90
DOI: 10.1615/IntJMultCompEng.2014007814
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ABSTRAKT

This paper presents a concurrent optimization technique for structures composed of ultralight lattice materials. The optimization aims at obtaining the minimum structural compliance by optimizing the structural configuration in macroscale and the size of microcomponents of lattice materials concurrently with the specified base material volume. The microstructure of the lattice materials is assumed to be homogeneous to meet the manufacture practice. Optimization in two scales is integrated into one system with the extended multiscale finite element method. In addition, the influences from the finite size of the material microstructures on the optimal results are studied. The superiority of the concurrent optimization relative to the single-scale design of microstructures is indicated. Numerical experiments under linear and periodic boundary conditions validate the proposed optimization model and algorithm.

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