On modeling flow between adjacent surfaces where the fluid is governed by implicit algebraic constitutive relations

IF 0.6 4区 数学 Q4 MATHEMATICS, APPLIED
Andreas Almqvist, Evgeniya Burtseva, Kumbakonam R. Rajagopal, Peter Wall
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引用次数: 0

Abstract

We consider pressure-driven flow between adjacent surfaces, where the fluid is assumed to have constant density. The main novelty lies in using implicit algebraic constitutive relations to describe the fluid’s response to external stimuli, enabling the modeling of fluids whose responses cannot be accurately captured by conventional methods. When the implicit algebraic constitutive relations cannot be solved for the Cauchy stress in terms of the symmetric part of the velocity gradient, the traditional approach of inserting the expression for the Cauchy stress into the equation for the balance of linear momentum to derive the governing equation for the velocity becomes inapplicable. Instead, a non-standard system of first-order equations governs the flow. This system is highly complex, making it important to develop simplified models. Our primary contribution is the development of a framework for achieving this. Additionally, we apply our findings to a fluid that exhibits an S-shaped curve in the shear stress versus shear rate plot, as observed in some colloidal solutions.

在流体由隐式代数本构关系控制的相邻表面之间的流动建模
我们考虑相邻表面之间的压力驱动流动,其中流体假定具有恒定的密度。主要的新颖之处在于使用隐式代数本构关系来描述流体对外部刺激的响应,从而使传统方法无法准确捕获的流体建模成为可能。当速度梯度对称部分的柯西应力的隐式代数本构关系无法求解时,传统的将柯西应力表达式代入线性动量平衡方程来推导速度控制方程的方法就不适用了。相反,一个非标准的一阶方程组控制着水流。该系统非常复杂,因此开发简化模型非常重要。我们的主要贡献是制定实现这一目标的框架。此外,我们将我们的发现应用于在剪切应力-剪切速率图中呈现s形曲线的流体,正如在一些胶体溶液中观察到的那样。
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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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