IKA-FLOW:鱼游泳的柔性身体偏移网格实现

M. Coe, S. Gutschmidt
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引用次数: 0

摘要

惯性游泳者的模拟需要流体结构与时间体几何变形的相互作用。在实践中,他的结果改变了表示“游泳者”的计算域边界。这些模拟传统上是用体拟合网格和网格变形方法进行的,但由于细胞体积小,时间步长短,无法解释复杂的游泳运动。相反,同样由OpenFOAM®提供的覆盖网格方法克服了网格变形方法的大部分缺点,但代价是插值误差。当前的OpenFOAM®偏移运动库仅支持刚体运动,不能用于解析正在经历波动的物体。提出了一种改进的运动求解器,用于求解四体-尾鳍虚拟游泳者的复置网格的复杂网格运动。将求解结果与已发表的拟体网格数据进行了比较。研究了不同仿真参数(包括求解迭代次数、时间延迟和时间分辨率)的影响。此外,还对介形虫的运动模式与鳗形、Carangiform和thununiform的运动模式进行了模拟和比较,研究了尾流、阻力和升力。由此得出结论,鱼类波动对降低升力产生有显著作用。最后,对多个雷诺数下的湍流模型(Spalart-Allmaras、k−ω SST和k−kL−ω)进行了比较,结果表明,这三种模型在较低雷诺数下具有相似的性能,但在较高雷诺数下会发散。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IKA-FLOW : A Flexible Body Overset Mesh Implementation for Fish Swimming
Simulation of inertial aquatic swimmers requires fluid structure interactions with temporal body geometry deformation. In practice,  his results in a change of the computational domain boundaries that represent the ”swimmer.” These simulations are traditionally done  sing body-fitted mesh and mesh morphing methods, but have drawbacks of negative cell volumes and small time-steps to  account for the complex swimming motion. In contrast, the overset mesh method, also provided by OpenFOAM®, overcomes most of  the drawbacks of the mesh morphing method at the expense of interpolation error. The current OpenFOAM® overset motion library only supports rigid body motion and cannot be used to resolve a body undergoing undulation. A modified motion solver is presented that allows for the complex mesh motion of an overset mesh for four body-caudal fin (BCF) virtual swimmers. The results of this solver are compared with published data of body-fitted meshes. The effect of different simulation parameters (including number of solving iterations, time delay, and temporal resolution) is investigated. Additionally, a novel simulation and comparison of the Ostraciiform locomotion mode with Anguilliform, Carangiform, and Thunniform modes are made investigating the wake, drag and lift. It is concluded that fish undulation has a marked effect on reducing lift generation. Lastly, a comparison of turbulence models (Spalart-Allmaras, k − ω SST, and k − kL − ω) at multiple Reynolds numbers shows that all three models have similar performance at lower Reynolds numbers but diverge at higher numbers.
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