论文标题
原生质流中速度分布的随机流体动力学模拟
Stochastic Fluid Dynamics Simulations of the Velocity Distribution in Protoplasmic Streaming
论文作者
论文摘要
在\ textit {chara corallina}和\ textit {nitella flexilis}的情况下,植物细胞中的原生质流是直接可见的,并且可以理解,这种流在生物材料的运输中起着作用。因此,相关研究的重点是从流体力学的角度来看分子运输。但是,沿流动方向$ x $的实验观察到的速度分布,在$ v_x \!= \!0 $和有限$ v_x(\ not = \!0)$上表现出两个峰值,尚待研究。在本文中,我们从数值上研究了流场的这种行为是否可以通过假定随机布朗力的2D随机Navier-Stokes(NS)方程进行模拟。我们提供了第一个数值证据,即这些峰是由随机NS方程重现的,这意味着流体颗粒的布朗运动在速度分布中这些峰的出现中起着至关重要的作用。我们还发现,峰值在$ v_x(\ not = \!0)$的位置随机强度$ d $的变化而移动,随机布朗力的强度$ d $也会根据物理参数而变化,这取决于运动细胞的运动粘度,边界速度和植物细胞的直径。
Protoplasmic streaming in plant cells is directly visible in the cases of \textit{Chara corallina} and \textit{Nitella flexilis}, and this streaming is understood to play a role in the transport of biological materials. For this reason, related studies have focused on molecular transportation from a fluid mechanics viewpoint. However, the experimentally observed distribution of the velocity along the flow direction $x$, which exhibits two peaks at $V_x\!=\!0$ and at a finite $V_x(\not=\!0)$, remains to be studied. In this paper, we numerically study whether this behavior of the flow field can be simulated by a 2D stochastic Navier-Stokes (NS) equation for Couette flow, in which random Brownian force is assumed. We present the first numerical evidence that these peaks are reproduced by the stochastic NS equation, which implies that the Brownian motion of the fluid particles plays an essential role in the emergence of these peaks in the velocity distribution. We also find that the position of the peak at $V_x(\not=\!0)$ moves with the variation in the strength $D$ of the random Brownian force, which also changes depending on physical parameters such as the kinematic viscosity, boundary velocity and diameter of the plant cells.