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合成材料:力学,计算和应用

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ISSN 打印: 2152-2057

ISSN 在线: 2152-2073

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: 0.2 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: 0.3 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: 0.00004 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: 0.08 SJR: 0.153 SNIP: 0.178 CiteScore™:: 1 H-Index: 12

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DEVELOPMENT OF COMPUTATIONAL EXPERIMENTAL METHODS TO OPTIMIZE THE MECHANICAL CHARACTERISTICS OF HIGH-ENERGY FILLED POLYMER SYSTEMS

卷 3, 册 2, 2012, pp. 135-148
DOI: 10.1615/CompMechComputApplIntJ.v3.i2.30
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摘要

The present article is a sequel to the previous work of Zharkov et al. (2011) and is devoted to the problem concerned with the perfection of the technology of forming the mechanical characteristics of high-energy filled polymer systems (HEFPS) with the use of actively developing methods of physical and mathematical modeling that allow one to establish the relationship between the prescribed composition and structural parameters with realized operating characteristics.

对本文的引用
  1. Bochkareva S.A., Ljukchin B.A., Reutov Y.A., Reutov A.I., Prediction of the effective characteristics of freeze-resisting polymeric compositions and reliability estimation of products on their basis, 2015 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS), 2015. Crossref

  2. Bochkareva Svetlana A., Grishaeva Natalia Yu., Ljukchin Boris A., Ljukchin Petr A., Panin Sergey, Senatova Olga A., Reutov Yuriy A., The Effect of Anisotropy in Polymeric Matrices on Compositional Properties at Various Temperatures, Advanced Materials Research, 1040, 2014. Crossref

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