用于分析 CAD 模型的三网格高阶沉浸式有限元方法

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-05-23 DOI:10.1016/j.cad.2024.103730
Eky Febrianto , Jakub Šístek , Pavel Kůs , Matija Kecman , Fehmi Cirak
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引用次数: 0

摘要

使用边界拟合网格对复杂的 CAD 模型进行自动有限元分析困难重重。沉浸式有限元方法本质上更加稳健,但通常精度较低。在这项工作中,我们为复杂的 CAD 模型引入了一种高效、稳健的高阶沉浸式有限元方法。我们的方法依赖于三个自适应结构网格:用于表示隐式几何的几何网格、用于离散物理场的有限元网格以及用于评估有限元积分的正交网格。几何网格是一个稀疏的 VDB(体积动态 B+树)网格,在物理域边界附近高度细化。有限元网格由分布在多个处理器上的八叉网格组成,每个有限元单元中的正交网格都是以自下而上的方式构建的八叉网格。正交网格的分辨率可确保以足够的精度评估有限元积分,并确保任何子网格的几何特征(如小孔或拐角)都能按照所需的分辨率得到解决。我们的方法概念简单、模块化,因此可以重复使用开源库,即分别用于实现几何和有限元网格的 openVDB 和 p4est,以及利用域分解并行迭代求解离散方程组的 BDDCML。我们通过在复杂 CAD 模型描述的域上求解泊松方程,并用数千万个自由度离散化,证明了所提方法的效率和稳健性。求解域使用线性和二次拉格朗日基函数离散化。
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A Three-Grid High-Order Immersed Finite Element Method for the Analysis of CAD Models

The automated finite element analysis of complex CAD models using boundary-fitted meshes is rife with difficulties. Immersed finite element methods are intrinsically more robust but usually less accurate. In this work, we introduce an efficient, robust, high-order immersed finite element method for complex CAD models. Our approach relies on three adaptive structured grids: a geometry grid for representing the implicit geometry, a finite element grid for discretising physical fields and a quadrature grid for evaluating the finite element integrals. The geometry grid is a sparse VDB (Volumetric Dynamic B+ tree) grid that is highly refined close to physical domain boundaries. The finite element grid consists of a forest of octree grids distributed over several processors, and the quadrature grid in each finite element cell is an octree grid constructed in a bottom-up fashion. The resolution of the quadrature grid ensures that finite element integrals are evaluated with sufficient accuracy and that any sub-grid geometric features, like small holes or corners, are resolved up to a desired resolution. The conceptual simplicity and modularity of our approach make it possible to reuse open-source libraries, i.e. openVDB and p4est for implementing the geometry and finite element grids, respectively, and BDDCML for iteratively solving the discrete systems of equations in parallel using domain decomposition. We demonstrate the efficiency and robustness of the proposed approach by solving the Poisson equation on domains described by complex CAD models and discretised with tens of millions of degrees of freedom. The solution field is discretised using linear and quadratic Lagrange basis functions.

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7.20
自引率
4.30%
发文量
567
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