论文标题

使用统一的一阶双曲模型和结构性的半无限制方案模拟非牛顿粘塑性流动

Simulation of non-Newtonian viscoplastic flows with a unified first order hyperbolic model and a structure-preserving semi-implicit scheme

论文作者

Peshkov, Ilya, Dumbser, Michael, Boscheri, Walter, Romenski, Evgeniy, Chiocchetti, Simone, Ioriatti, Matteo

论文摘要

我们讨论了统一双曲线模型在连续流体和固体力学上的适用性,以建模非牛顿流,尤其是建模粘性流体流动中应力驱动的固体液体转化,这也称为屈服压力液。与依靠Navier-Stokes理论的非线性粘度概念和固态作为无限刚性不可构型固体的表示相反,我们的理论中的固态是可变形的,而流体状态则被视为“融化”,通过与Maxpell的一定程度的强调方法相似,将其视为固体的固体。该模型被配制为具有可能僵硬的非线性弛豫源项的一阶双曲部分微分方程的系统。该计算策略基于交错的半密度方案,该方案可以特别适用于非牛顿流体流量通常所需的低模数流。模型和数值方案的适用性在一些标准基准测试案例上证明,例如Couette,Hagen-Poiseuille和盖子驱动的腔流量。将数值解决方案与Navier-Stokes理论的分析或数值解与非线性粘度的Herschel-Bulkley组成模型进行了比较。

We discuss the applicability of a unified hyperbolic model for continuum fluid and solid mechanics to modeling non-Newtonian flows and in particular to modeling the stress-driven solid-fluid transformations in flows of viscoplastic fluids, also called yield-stress fluids. In contrast to the conventional approaches relying on the non-linear viscosity concept of the Navier-Stokes theory and representation of the solid state as an infinitely rigid non-deformable solid, the solid state in our theory is deformable and the fluid state is considered rather as a "melted" solid via a certain procedure of relaxation of tangential stresses similar to Maxwell's visco-elasticity theory. The model is formulated as a system of first-order hyperbolic partial differential equations with possibly stiff non-linear relaxation source terms. The computational strategy is based on a staggered semi-implicit scheme which can be applied in particular to low-Mach number flows as usually required for flows of non-Newtonian fluids. The applicability of the model and numerical scheme is demonstrated on a few standard benchmark test cases such as Couette, Hagen-Poiseuille, and lid-driven cavity flows. The numerical solution is compared with analytical or numerical solutions of the Navier-Stokes theory with the Herschel-Bulkley constitutive model for nonlinear viscosity.

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