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Pressure-Dependent Viscosity Model for Granular Media Obtained from Compressible Navier-Stokes Equations

机译:从可压缩的Navier-Stokes方程获得的颗粒介质的压力相关粘度模型

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摘要

The aim of this article is to justify mathematically, in the two-dimensional periodic setting, a generalization of a two-phase model with pressure-dependent viscosity and memory effects first proposed by Lefebvre-Lepot and Maury [19] to describe a onedimensional system of aligned spheres interacting through lubrication forces. This model involves an adhesion potential apparent only on the congested domain, which keeps track of history of the flow. The solutions are constructed (through a singular limit) from a compressible Navier-Stokes system with viscosity and pressure both singular close to a maximal volume fraction. Interestingly, this study can be seen as the first mathematical connection between incompressible models of granular flows and compressible models of suspension flows. As a by-product of this result, we also obtain global existence of weak solutions for a system of incompressible Navier- Stokes equations with pressure-dependent viscosity, the adhesion potential playing a crucial role in this result.
机译:本文的目的是在二维周期性设置中以数学方式证明具有压力依赖粘度和记忆效应的两相模型的一般化,该模型首先由Lefebvre-Lepot和Maury [19]提出来描述一维系统。通过润滑力相互作用的对齐球体的数量。该模型仅在拥塞区域具有明显的附着力,可以跟踪流动的历史。该解决方案是通过可压缩的Navier-Stokes系统(通过奇异极限)构造而成的,其粘度和压力都奇异地接近最大体积分数。有趣的是,这项研究可以看作是颗粒流不可压缩模型与悬浮流可压缩模型之间的第一个数学联系。作为该结果的副产品,我们还获得了具有压力依赖粘度的不可压缩Navier-Stokes方程组的弱解的整体存在性,其附着力在该结果中起着至关重要的作用。

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