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摘要:本文总结了浸入式边界方法 (immersed bundary method, IB method) 中的力源建模研究进展, 并且对该方法在诸如生物体绕流及流固耦合等典型的复杂边界以及运动边界问题中的应用进行了介绍. 边界精度低是IB方法主要特征之一, 但该方法目前在计算气动声学等高精度计算中同样有所应用. 最后本文对IB方法在处理高雷诺数流动问题上所面临的挑战以及目前研究进展和未来发展方向进行了介绍.Abstract:This paper summarizes the advances in the modelling of force source for the immersed boundary (IB) method. Introductions have been given to the applications of this method in the fields of flow around biological structures and fluid-structure interaction, which are representatives of problems with complex and moving geometries, respectively. Although low accuracy at boundary is one main feature of the IB method, it has also been applied to these computational aeroacoustic problems which requires high-order accuracy. Finally, the challenges, advances and future expects of the IB method in dealing with high-Reynolds-number flow are also reviewed.
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图 4蝙蝠鱼示意图(Huang et al. 2020,Zhang et al. 2022b)
图 5鱼类群体游泳数值模拟中不同个体的尾迹互相干涉(Peng et al. 2018)
图 6基于IB方法的叶轮机械转静干涉计算. (a) 转静叶片排模型, (b) 流场瞬时涡量分布(Du et al, 2016a,2016b)
图 8长度对刚性/柔性细丝组合体流固耦合响应及尾迹的影响(Ni et al. 2023)
图 9多个圆柱散射下的声场压力分布(Sun et al. 2012)
图 10叶栅声共振所对应的流场特征. (a) 压力云图, (b) 涡量云图(Cheng et al. 2021a)
图 12采用自适应网格加密生成的多层网格系统(Wang et al. 2020)
图 13基于SA显式壁面模型的湍流边界层速度分布与壁面律对比(Chen et al. 2023)
图 14(a) 内流问题示意图, (b) 采用笛卡尔网格结合自适应加密所生成的网格系统, (c) 流道贴体网格结合自适应加密生成的网格系统(Wang et al. 2023)
图 15三维亚声速平面叶栅叶片表面压力分布数值模拟结果及其与实验的对比(Wang et al. 2023)
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