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arXiv 2202.08307physics.flu-dyn
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多孔圆柱阵列用于优化尾流与阻力特性

Porous cylinder arrays for optimal wake and drag characteristics

Aishwarya Nair, Amirkhosro Kazemi, Oscar Curet, Siddhartha Verma

AI总结:

本研究通过实验与模拟结合多目标优化,发现多孔圆柱阵列的几何布置显著影响尾流与阻力,且孔隙率等高层指标不足以单独预测其特性。

摘要:

红树林的根系,一种生长在热带和亚热带潮间带沿海地区的树种,提供了天然的屏障,能有效消散波浪能量并减少沉积物侵蚀。在本工作中,我们结合实验与数值模拟,研究作为红树林根系网络简化模型的多孔圆柱阵列的尾流与阻力特性。通过将纳维-斯托克斯模拟与多目标优化算法耦合,获得了阵列的优化布置,该算法寻求最小化尾流拟涡能并最大化作用于多孔结构上的阻力的配置。利用粒子图像测速技术对这些优化配置进行了研究,并结合本征正交分解与拉格朗日粒子追踪分析了多孔阵列周围及内部的流动。通过改变圆柱的相对位置,观察到阻力和拟涡能的显著变化,这表明多孔阵列的几何布置在决定尾流与阻力特性方面起着重要作用。敏感性分析表明,拟涡能对特定圆柱布置的敏感性高于阻力,并且依赖于由于单个圆柱之间的相互作用而在内部发展出的独特流动模式。发现具有较高阻力的阵列在尾流中具有较高的平均流速,并产生随时间变化的拉格朗日相干结构,这使得它们不利于颗粒沉积和侵蚀。总体而言,结果表明诸如阵列孔隙率之类的高层指标可能不足以单独预测尾流与阻力特性。

英文摘要:

The root systems of mangroves, a tree species found in intertidal tropical and sub-tropical coastal zones, provide a natural barrier that dissipates wave energy effectively and reduces sediment erosion. In this work, we use a combination of experiments and numerical simulations to examine the wake and drag characteristics of porous arrays of cylinders, which serve as simplified models of mangrove root networks. Optimal arrangements of the arrays are obtained by coupling Navier-Stokes simulations with a multi-objective optimization algorithm, which seeks configurations that minimize wake enstrophy and maximize drag acting on the porous structure. These optimal configurations are investigated using Particle Image Velocimetry, and the internal and external flow around the porous arrays are analyzed using a combination of Proper Orthogonal Decomposition and Lagrangian particle tracking. Large variations in drag and enstrophy are observed by varying the relative positions of the cylinders, which indicates that the geometrical arrangement of porous arrays plays a prominent role in determining wake and drag characteristics. A sensitivity analysis suggests that enstrophy is more sensitive than drag to specific cylinder placement, and depends on distinctive flow patterns that develop in the interior due to interactions among individual cylinders. Arrays with higher drag are found to have higher average flow speeds in the wake and give rise to time-varying Lagrangian Coherent Structures, making them unfavorable for particle deposition and erosion. Overall, the results indicate that high-level metrics such as array porosity may not be sufficient on their own for predicting wake and drag characteristics.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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