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首页> 外文期刊>Journal of Scientific Computing >A Fast Discontinuous Galerkin Method for a Bond-Based Linear Peridynamic Model Discretized on a Locally Refined Composite Mesh
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A Fast Discontinuous Galerkin Method for a Bond-Based Linear Peridynamic Model Discretized on a Locally Refined Composite Mesh

机译:局部精制复合网格离散的基于键的线性周向动力学模型的快速间断Galerkin方法

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摘要

We develop a family of fast discontinuous Galerkin (DG) finite element methods for a bond-based linear peridynamic (PD) model in one space dimension. More precisely, we develop a preconditioned fast piecewise-constant DG scheme on a geometrically graded locally refined composite mesh which is suited for the scenario in which the jump discontinuity of the displacement field occurs at the one of the nodes in the original uniform partition. We also develop a preconditioned fast piecewise-linear DG scheme on a uniform mesh that has a second-order convergence rate when the jump discontinuity occurs at one of the computational nodes or has a convergence rate of one-half order otherwise. Motivated by these results, we develop a preconditioned fast hybrid DG scheme that is discretized on a locally uniformly refined composite mesh to numerically simulate the PD model where the jump discontinuity of the displacement field occurs inside a computational cell. We use a piecewise-constant DG scheme on a uniform mesh and a piecewise-linear DG scheme on a locally uniformly refined mesh of mesh size O(h(2)), which has an overall convergence rate of O(h). Because of their nonlocal nature, numerical methods for PD models generate dense stiffness matrices which have O(N-2) memory requirement and O(N-3) computational complexity, where N is the number of computational nodes. In this paper, we explore the structure of the stiffness matrices to develop three preconditioned fast Krylov subspace iterative solvers for the DG method. Consequently, the methods have significantly reduced computational complexity and memory requirement. Numerical results show the utility of the numerical methods.
机译:我们为一维空间中基于键的线性绕动力学(PD)模型开发了一系列快速不连续Galerkin(DG)有限元方法。更准确地说,我们在几何渐变的局部精制复合网格上开发了预处理的快速分段常数DG方案,该方案适用于位移场的跳跃不连续发生在原始均匀分区中的一个节点处的情况。我们还开发了一种在均匀网格上的预处理快速分段线性DG方案,当跳跃不连续发生在计算节点之一上时,该网格具有二阶收敛速度,否则,其收敛速度为二分之一。受这些结果的启发,我们开发了一种预处理的快速混合DG方案,该方案在局部均匀精炼的复合网格上离散化,以数值模拟PD模型,其中位移场的跳跃不连续发生在计算单元内。我们在均匀网格上使用分段常数DG方案,在网格大小为O(h(2))的局部均匀精炼网格上使用分段线性DG方案,总体收敛速度为O(h)。由于非局部性质,PD模型的数值方法会生成具有O(N-2)内存需求和O(N-3)计算复杂度的密集刚度矩阵,其中N是计算节点的数量。在本文中,我们探索了刚度矩阵的结构,以为DG方法开发三个预处理的快速Krylov子空间迭代求解器。因此,这些方法显着降低了计算复杂度和内存需求。数值结果表明了数值方法的实用性。

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