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Метод самосогласования для определения эффективных упругих характеристик пенистых металлических композиций

Метод самосогласования для определения эффективных упругих характеристик пенистых металлических композиций

Abstract

In this paper we used a well-known statistical mechanics of deformable bodies of self-consistent method to determine the effective mechanical properties of metallic foams (cellular metallic materials). Relations for the effective modulus of elasticity (Young's modulus) and Poisson's ratio of these materials were obtained.The comparison of calculated and experimental values of these quantities was produced.

Использован известный из статистической механики деформируемых тел метод самосогласования (self-consistent method) для определения эффективных механических характеристик металлических пен (cellular metallic materials). Получены соотношения для эффективного модуля нормальной упругости (Юнга) и коэффициента Пуассона таких материалов. Произведено сравнение расчетных и экспериментальных значений этих величин.

Keywords

КОМПОЗИТ, МЕТАЛЛИЧЕСКАЯ ПЕНА, ПОРИСТЫЙ МЕТАЛЛ, МОДУЛЬ ЮНГА, КОЭФФИЦИЕНТ ПУАССОНА, ЭФФЕКТИВНЫЕ ХАРАКТЕРИСТИКИ, ОБОЛОЧКИ, МЕТОД САМО-СОГЛАСОВАНИЯ, YOUNG''S MODULUS, POISSON''S RATIO

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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