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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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IDENTIFICATION OF KINETIC PARAMETERS OF THE MODEL OF INTERPHASE LAYER GROWTH IN A FIBROUS COMPOSITE

卷 7, 册 3, 2016, pp. 175-187
DOI: 10.1615/CompMechComputApplIntJ.v7.i3.10
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摘要

An algorithm for identification of the parameters, making part of the parabolic law that is often used for predicting the dependence of the interphase layer thickness on the retention time in the composite material structure based on a metal matrix is suggested. A generalized presentation of this law that allows for the impact of the incubation period is used; at the same time the reaction rate constant is estimated by the Arrhenius relationship and takes into account the pressure effect. The identification algorithm suggested is based on the transformation of the available parabolic law and the introduction of the minimized objective function of a special form. The problem of identification of unknown parameters in the parabolic law is formulated in the variational form and allows the selecton of such a set from the allowed set of model parameters, when the objective function takes the minium value. It is shown that the four known experimental values of the interphase layer thickness that correspond to different values of temperature, pressure, and time of the interphase layer growth can be used to identify four parameters of the model: the activation energy, the preexponential parameter, the delay in the generation of the interphase layer, and the parameter determining the influence of pressure on the interphase layer growth rate. In the work, the stability of the proposed identification algorithm is studied and the restrictions imposed on the set of the required initial data are discussed. The known experimental data are used to demonstrate the efficiency of the algorithm proposed.

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