针对二维流固耦合的基于笛卡尔网格的平滑有限元法的保守沉浸式算法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

笛卡尔网格在计算流体动力学(CFD)中非常流行,它具有网格质量高和易于生成的特点。然而,由于形状函数的限制,基于有限元法的 CFD 算法很少使用带悬挂节点的笛卡尔网格(CGHN)。在沉浸边界法的框架基础上,针对不可压缩流体和大变形结构中的流固耦合问题,开发了一种基于 CGHN 的平滑有限元方法。梯度平滑技术简化了悬挂节点的处理,确保了笛卡尔元素的网格密度。在求解非线性 N-S 方程时,基于特征的分割格式与稳定压力梯度投影相结合,以克服类似 Galerkin 方法中的对流和压力振荡。开发了一种异质网格映射技术,用于流体域和固体域之间的数据传输。开发了一种高效、精确和通用的质量守恒算法来解决流体和固体之间数据传输中的压力振荡问题。数值示例结果表明,所提出的方法具有高精度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conservative immersed-type algorithm with a Cartesian grid-based smoothed finite element method for the 2D fluid-structure interaction

The Cartesian grid, which is highly popular in Computational Fluid Dynamics (CFD), has the characteristics of high mesh quality and easy generation. However, due to the limit of shape functions, the Cartesian grid with hanging nodes (CGHN) was rarely used in finite element method based CFD algorithm. Based on the framework of the immersed boundary method, a smoothed finite element method based on CGHN is developed for the fluid-structure interaction problems in incompressible fluids and large deformed structures. The gradient smoothing technique simplifies the processing of the hanging nodes and ensures the mesh density of the Cartesian elements. When solving the nonlinear N-S equations, the characteristic-based split format is combined with the stabilized pressure gradient projection to overcome the convection and pressure oscillations in the Galerkin-like method. A heterogeneous mesh mapping technology is developed for the data transfer between fluid and solid domains. An efficient, accurate and generalized mass conservation algorithm is developed to solve the pressure oscillations in data transfer between fluids and solids. The results of numerical examples show that the presented method possesses high accuracy and robustness.

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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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