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Radial basis function (RBF)-based interpolation and spreading for the immersed boundary method

机译:沉浸边界方法的基于径向基函数(RBF)的内插和扩展

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摘要

Immersed boundary methods are efficient tools of growing interest as they allow to use generic CFD codes to deal with complex, moving and deformable geometries, for a reasonable computational cost compared to classical body-conformal or unstructured mesh approaches. In this work, we propose a new immersed boundary method based on a radial basis functions framework for the spreading-interpolation procedure. The radial basis function approach allows for dealing with a cloud of scattered nodes around the immersed boundary, thus enabling the application of the devised algorithm to any underlying mesh system. The proposed method can also keep into account both Dirichlet and Neumann type conditions. To demonstrate the capabilities of our novel approach, the imposition of Dirichlet boundary conditions on a 2D cylinder geometry in a Navier-Stokes CFD solver, and the imposition of Neumann boundary conditions on an adiabatic wall in an unsteady heat conduction problem are considered. One of the most significant advantage of the proposed method lies in its simplicity given by the algorithmic possibility of carrying out the interpolation and spreading steps all together, in a single step.
机译:与传统的人体保形或非结构化网格方法相比,沉浸式边界方法是一种日益受到关注的有效工具,因为它们允许使用通用CFD代码处理复杂,移动和可变形的几何形状,并且计算成本合理。在这项工作中,我们提出了一种基于径向基函数框架的新的浸入边界方法,用于扩展插值过程。径向基函数方法允许处理沉浸边界周围的分散节点云,从而使设计的算法可以应用于任何底层网格系统。所提出的方法还可以同时考虑Dirichlet和Neumann型条件。为了证明我们新颖方法的功能,考虑了在非恒定热传导问题中,在Navier-Stokes CFD求解器中将Dirichlet边界条件强加于2D圆柱几何体上,以及在绝热壁上施加Neumann边界条件。所提出的方法的最重要的优点之一在于其简单性,该算法的简单性是在单个步骤中一起执行内插和扩展步骤的算法可能性。

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