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arXiv 2409.02419physics.flu-dyn
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高孔隙率颗粒在密度分层流体中的扩散限制沉降

Diffusion-limited settling of highly porous particles in density-stratified fluids

Robert Hunt, Roberto Camassa, Richard M. McLaughlin, Daniel M. Harris

AI总结:

本文研究高孔隙率颗粒在密度分层流体中的扩散限制沉降,推导出稳态沉降速度公式,揭示小颗粒沉降更快的反直觉现象,并通过实验验证及提出由颗粒轨迹反演背景密度剖面的方法。

摘要:

固体物质在分层介质中的垂直输运是许多环境应用中的基础问题,对碳循环和海洋生态系统中的营养物输运具有重要意义。在本工作中,我们通过实验、理论分析和数值模拟相结合的方式,研究了高孔隙率颗粒在密度分层流体中的扩散限制沉降。通过界定并借助扩散限制区域——在该区域中,由质量适应引起的浮力效应主导流体动力学阻力——我们推导出一个简单的表达式,用于描述球体稳态沉降速度与固体的密度、尺寸、扩散率以及背景流体密度梯度之间的函数关系。在该区域中,较小的颗粒沉降更快,这与大多数传统流体动力学阻力机制相反。此外,我们概述了一个通用数学框架,用于计算该区域中任意形状物体的稳态沉降速度,并针对一般椭球体的情况计算了精确结果。利用水凝胶作为高孔隙率模型系统,我们在线性分层条件下通过实验室实验在广泛的参数范围内验证了这些预测。最后,我们展示了这些预测如何应用于任意缓慢变化的背景密度剖面,并演示了如何利用测量的颗粒位置随时间的变化来反演背景密度剖面。

英文摘要:

The vertical transport of solid material in a stratified medium is fundamental to a number of environmental applications, with implications for the carbon cycle and nutrient transport in marine ecosystems. In this work, we study the diffusion-limited settling of highly porous particles in a density-stratified fluid through a combination of experiment, analysis, and numerical simulation. By delineating and appealing to the diffusion-limited regime wherein buoyancy effects due to mass adaptation dominate hydrodynamic drag, we derive a simple expression for the steady settling velocity of a sphere as a function of the density, size, and diffusivity of the solid, as well as the density gradient of the background fluid. In this regime, smaller particles settle faster, in contrast with most conventional hydrodynamic drag mechanisms. Furthermore, we outline a general mathematical framework for computing the steady settling speed of a body of arbitrary shape in this regime and compute exact results for the case of general ellipsoids. Using hydrogels as a highly porous model system, we validate the predictions with laboratory experiments in linear stratification for a wide range of parameters. Lastly, we show how the predictions can be applied to arbitrary slowly varying background density profiles and demonstrate how a measured particle position over time can be used to reconstruct the background density profile.

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