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国际多尺度计算工程期刊

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ISSN 打印: 1543-1649

ISSN 在线: 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

Nonlinear viscoelastic analysis of statistically homogeneous random composites

卷 2, 册 4, 2004, 29 pages
DOI: 10.1615/IntJMultCompEng.v2.i4.80
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摘要

Owing to the high computational cost in the analysis of large composite structures through a multiscale or hierarchical modeling, an efficient treatment of complex material systems at individual scales is of paramount importance. Limiting the attention to the level of constituents, the present paper offers a prosperous modeling strategy for the prediction of nonlinear viscoelastic response of fibrous graphite-epoxy composite systems with possibly random distribution of fibers within a transverse plane section of the composite aggregate. If such a material can be marked as statistically homogeneous and the mechanisms driving the material response fall within a category of the first-order homogenization scheme the variational principles of Hashin and Shtrikman emerge as an appealing option in the solution of uncoupled micro-macro computational homogenization. The material statistics up to two-point probability function that are used to describe the morphology of such a microstructure can be then directly incorporated into variational formulations to provide bounds on the effective material response of the assumed composite medium. In the present formulation the Hashin-Shtrikman variational principles are further extended to account for the presence of various transformation fields defined as local eigenstrain or eigenstress distributions in the phases. The evolution of such eigen-fields is examined here within a framework of the nonlinear viscoelastic behavior of a polymeric matrix conveniently described by the Leonov model. A fully implicit integration scheme is implemented to enhance the stability and efficiency of the underlying numerical analysis. A special choice of reference medium with a deformation-dependent shear modulus is proposed in order to improve the redistribution of averaged local fields due to local stress inhomogeneities associated with nonlinear viscoelastic response of the matrix phase. The present modeling strategy is further promoted by a good agreement of the results, including estimated effective thermoelastic properties, with the predictions of a direct microstructural computation.

对本文的引用
  1. Gajdošík Jan, Zeman Jan, Šejnoha Michal, Qualitative analysis of fiber composite microstructure: Influence of boundary conditions, Probabilistic Engineering Mechanics, 21, 4, 2006. Crossref

  2. Zeman J, Šejnoha M, From random microstructures to representative volume elements, Modelling and Simulation in Materials Science and Engineering, 15, 4, 2007. Crossref

  3. Vorel Jan, Sejnoha Michal, Evaluation of homogenized thermal conductivities of imperfect carbon-carbon textile composites using the Mori-Tanaka method, Structural Engineering and Mechanics, 33, 4, 2009. Crossref

  4. Sevostianov Igor, Levin Valery, Radi Enrico, Effective viscoelastic properties of short-fiber reinforced composites, International Journal of Engineering Science, 100, 2016. Crossref

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  6. Rosa I., Lepech M. D., Loftus D. J., Multiscale Modeling and Testing of Protein-Bound Regolith and Soils, Earth and Space 2018, 2018. Crossref

  7. Šejnoha Michal, Vorel Jan, Valentová Soňa, Tomková Blanka, Novotná Jana, Marseglia Guido, Computational Modeling of Polymer Matrix Based Textile Composites, Polymers, 14, 16, 2022. Crossref

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