Python 中的斯托克斯动力学

A. Townsend
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摘要

摘要 Stokesian Dynamics(Brady 和 Bossis,1988 年)是一种微流体力学、低雷诺数方法,用于模拟颗粒悬浮液在流体中的运动,它考虑了颗粒在牛顿背景溶剂中的相互作用。选择这种方法通常是因为它适合三维模拟,计算量小,耗时少。在最基本的情况下,斯托克斯定律指出,一个半径为 𝑎 的单个球体在低雷诺数条件下,以 𝑈 的速度在粘度为 𝜇 的无边界牛顿流体中运动时,会受到 𝐹 = -6𝜋𝜇𝑎𝑈 的阻力 𝐹。斯托克斯动力学的核心是对作用在粒子上的力与粒子运动速度之间线性关系的扩展。作为一种方法,它具有很强的适应性,并一直被广泛应用,为研究颗粒悬浮物的行为提供了有趣的见解。实验验证表明,它提供的结果误差在可接受范围内。该方法
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Stokesian Dynamics in Python
Summary Stokesian Dynamics (Brady & Bossis, 1988) is a microhydrodynamic, low Reynolds number approach to modelling the movement of suspensions of particles in fluids, which considers the interaction of particles with each other against a Newtonian background solvent. It is typically chosen for its suitability for three-dimensional simulation with low calculation and time penalty. In the most basic case, Stokes’ law states that a single sphere of radius 𝑎 , travelling with a velocity 𝑈 in an unbounded Newtonian fluid of viscosity 𝜇 , in a low Reynolds number regime, experiences a drag force, 𝐹 , of 𝐹 = −6𝜋𝜇𝑎𝑈 . Stokesian Dynamics, at its heart, is an extension of this linear relationship between the force acting on a particle and the velocity at which it travels. As a method, it is adaptable and continues to be used in the field, providing interesting insight into the behaviour of particle suspensions. Validations with experiments have shown it to provide results within acceptable error. The
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