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A simple and scalable immersed boundary method for high-fidelity simulations of fixed and moving objects on a Cartesian mesh

机译:在笛卡尔网格上的固定和移动物体的高保真模拟简单且可扩展的浸没边界方法

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A simple and scalable Immersed Boundary Method based on cubic spline reconstructions is presented for high-fidelity simulations of immersed objects in a turbulent flow on a Cartesian mesh. The novelty of the proposed IBM lies in its simplicity, accuracy, scalability and its ability to simulate both fixed and moving immersed objects. The new IBM is thoroughly validated against a 1D benchmark, with the 2D flow around a cylinder at Re = 40 and 300 and the 3D flow around a sphere at Re = 300 and Re = 3700. Convergence studies and detailed error maps showing the spatial distribution of the velocity L~2-Norm error compared to a spectral reference solution for the cylinders at Re = 40 show the robustness of the proposed method. The cost and performance of the method are also presented for multi-billion mesh node simulations with up to 65,536 computational cores. The potential of the method in handling multiple moving objects for practical applications is demonstrated with the control of a square bluff body wake by two rear pitching flaps.
机译:基于立方样条重建的简单且可伸缩的浸没边界法,用于笛卡尔网格上的湍流流动中的浸没物体的高保真模拟。所提出的IBM的新颖性旨在简单,准确,可扩展性及其模拟固定和移动浸入物体的能力。新的IBM彻底验证到1D基准测试,在RE = 40和300的圆柱体周围围绕一个圆柱体,并且在RE = 300绕球体周围的3D流动,并重新= 3700.汇聚研究和显示空间分布的详细错误图。显示空间分布与RE = 40处的汽缸的光谱参考解决方案相比,速度L〜2-NOM误差显示了该方法的鲁棒性。该方法的成本和性能也用于多亿网格节点模拟,可提供高达65,536个计算核心。通过两个后抛光翼片控制方形虚张体唤醒,对处理多个移动物体的方法的潜力进行说明。

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