阻力
长椭球
机械
物理
经典力学
流量(数学)
粒子(生态学)
斯托克斯流
球体
雷诺数
剪切流
寄生阻力
参数空间
斯托克斯定律
阻力系数
统计物理学
颗粒流
空格(标点符号)
阻力方程
直接数值模拟
细长体理论
剪切(地质)
斯托克斯数
纵横比(航空)
弹道
复杂流体
作者
Jianzhi Yang,Chenghuan HE,Luoqin Liu,Chenyue Xie,Xi‐Yun Lu
标识
DOI:10.1017/jfm.2026.11826
摘要
The dynamics of non-spherical particles in wall-bounded flows plays a fundamental role in numerous natural and industrial processes, such as pollen dispersion, fibre suspensions and biomedical flows. Predictive simulations of such systems often employ an Euler–Lagrange approach, for which the accuracy hinges on the drag model used. Although reliable correlations exist for particles in unbounded flow or in direct contact with a wall, the intermediate regime of finite wall distance has received little attention, despite its prevalence in practical applications. For prolate spheroids – a common non-spherical particle shape – the drag force in this regime results from a complex interplay among the particle Reynolds number, the wall-normal distance and the particle’s three-dimensional orientation. In this work, we develop a drag model for prolate spheroids (aspect ratio lamda equals 2 λ = 2 $\lambda = 2$ ) that incorporates these coupled effects through a hierarchical framework based on three reference orientations and wall correction factors. The formulation recovers the exact unbounded Stokes behaviour and establishes near-wall asymptotic limits. Validation against direct numerical simulations across the parameter space considered yields a mean relative error below 2 %. Within its validated range, the proposed model accurately captures orientation-dependent wall effects for drag predictions, and is applicable in Euler–Lagrange simulations of non-spherical particles in wall-bounded flows.
科研通智能强力驱动
Strongly Powered by AbleSci AI