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arXiv 2207.05367math.AP
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具有周期高对比度夹杂的线性弹性静力系统的一致收敛性

Uniform convergence for linear elastostatic systems with periodic high contrast inclusions

Xin Fu, Wenjia Jing

摘要:

我们考虑具有周期性分布夹杂物的线性弹性拉梅系统,其弹性参数与背景介质相比具有高对比度。我们发展了一个统一的方法,基于层位技术量化的三个收敛结果时,一些参数的弹性夹杂发送到极值。更确切地说,我们研究的不可压缩夹杂物的体积模量的夹杂物的极限趋于无穷大,软夹杂物的体积模量和剪切模量趋于零的限制,和硬夹杂物的剪切模量趋于无穷大的限制。我们的方法产生的收敛速度是独立的夹杂物阵列的周期性,并且比这种类型的一些早期的结果更尖锐。的证明的一个关键成分是建立统一的频谱间隙的弹性Neumann-Poincare算子与收集的周期性夹杂物是独立的周期性。

英文摘要:

We consider the Lame system of linear elasticity with periodically distributed inclusions whose elastic parameters have high contrast compared to the background media. We develop a unified method based on layer potential techniques to quantify three convergence results when some parameters of the elastic inclusions are sent to extreme values. More precisely, we study the incompressible inclusions limit where the bulk modulus of the inclusions tends to infinity, the soft inclusions limit where both the bulk modulus and the shear modulus tend to zero, and the hard inclusions limit where the shear modulus tends to infinity. Our method yields convergence rates that are independent of the periodicity of the inclusions array, and are sharper than some earlier results of this type. A key ingredient of the proof is the establishment of uniform spectra gaps for the elastic Neumann-Poincare operator associated to the collection of periodic inclusions that are independent of the periodicity.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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