单向流动中帽贝壳上流体力的参数化

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computational Geosciences Pub Date : 2023-11-25 DOI:10.1007/s10596-023-10263-w
Carley Walker, Julian Simeonov, Ian Adams
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引用次数: 0

摘要

目前对不规则颗粒的水动力的参数化考虑了一些形状依赖,但缺乏对相对于流动的方向的明确依赖。在本文中,我们提出了一种新的参数化方法,通过流体力对物体参考系中速度分量的线性回归,在任意方向上作用在整个帽贝壳上的阻力和升力。采用边界层解析reynolds -average Navier-Stokes (RANS)模拟对流体力进行了估计。我们在不同迎角的平板上验证了剪切应力输运(SST) \(k-\omega \)湍流模型的准确性,与现有数据相比,我们获得了阻力和升力系数的决定系数约为0.95。根据模拟力数据的线性回归,我们建立了一个三维方向函数模型来预测作用在帽贝壳上的水动力,法向力的决定系数为0.80,纵向力的决定系数为0.51。
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Parameterizing the fluid forces on limpet shells in unidirectional flow

Current parameterizations of the hydrodynamic forces on irregular particles consider some shape dependencies, but lack an explicit dependence on the orientation with respect to the flow. In this paper, we propose a new parameterization of the drag and lift forces acting on whole Limpet shells at arbitrary orientations with respect to the direction of flow through the linear regression of fluid forces against the velocity components in an object frame of reference. The fluid forces were estimated using boundary layer-resolving Reynolds-averaged Navier-Stokes (RANS) simulations. We verified the accuracy of the shear stress transport (SST) \(k-\omega \) turbulence model on flat plates with varying angles of attack, and we achieved coefficients of determination versus existing data of approximately 0.95 for both the drag and lift coefficients. From the linear regression of our simulated force data, we developed a model as a function of 3-dimensional orientations to predict the hydrodynamic forces acting on a Limpet shell with coefficients of determination of 0.80 for normal forces and 0.51 for longitudinal forces.

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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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