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Composites: Mechanics, Computations, Applications: An International Journal
Главный редактор: Alexander N. Vlasov (open in a new tab)

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ISSN Печать: 2152-2057

ISSN Онлайн: 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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ILL-POSED PROBLEMS OF THE MECHANICS (RHEOLOGY) OF VISCOELASTIC MEDIA AND THE METHODS TO REGULARIZE THEM

Том 1, Выпуск 3, 2010, pp. 191-225
DOI: 10.1615/CompMechComputApplIntJ.v1.i3.10
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Краткое описание

Classical linear and original nonlinear (suggested by the present authors) pheno-menological and mathematical models describing the behavior of viscoelastic media (polymers above the glassy-state temperature, composites on their basis, etc.) are analyzed. A nonlinear model of a viscoelastic medium based on the Hammerstein-type nonlinear operator is suggested. The methods of regularization of ill-posed, according to Hadamard, inverse problems suitable for identification of the models describing the behavior of viscoelastic media by using full-scale experimental data are considered. To identify the linear model on the basis of the Fredhom first-kind integral operator it is suggested to use Tikhonov's method. To identify the model with the well-known non-linearity function, a method of statistical regularization based on the Bayes criterion is suggested. To identify a model with the unknown function of nonlinearity, the method of bit-linear approximation on the basis of the succession of Fredholm first-kind operators is suggested. The adequacy of the proposed theoretical approaches has been checked by comparing with full-scale experimental rheological data obtained by the authors for homogenous and heterogeneous polymeric media and composites with the aid of modern rheoviscometers.

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