Three-dimensional elastodynamic analysis employing the generalized finite difference method with arbitrary-order accuracy

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-09-04 DOI:10.1016/j.camwa.2024.08.025
Wenxiang Sun , Wenzhen Qu , Yan Gu , Shengdong Zhao
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Abstract

This study introduces an efficient numerical methodology for the analysis of three-dimensional (3D) elastodynamics, featuring high-order precision in the temporal and spatial domains. In the temporal discretization process using the Krylov deferred correction (KDC) technique, the second-order time derivative is treated as a new variable in the governing equations. Spectral integration is then employed to mitigate the instability associated with numerical differentiation operators. Additionally, an improved numerical implementation of boundary conditions based on time integration is incorporated into the KDC approach. The boundary value problems at time nodes resulting from the above discretization process are resolved by employing generalized finite difference method (GFDM), providing the flexibility to choose the Taylor series expansion order. We present four numerical examples to indicate the performance of the developed method in the accuracy and stability. The obtained numerical results are meticulously compared with either analytical solutions or those calculated using COMSOL software.

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采用具有任意阶精度的广义有限差分法进行三维弹性力学分析
本研究介绍了一种用于分析三维(3D)弹性动力学的高效数值方法,其特点是在时间域和空间域都具有高阶精度。在使用克雷洛夫延迟校正(KDC)技术的时间离散化过程中,二阶时间导数被视为治理方程中的一个新变量。然后采用谱积分来缓解与数值微分算子相关的不稳定性。此外,KDC 方法还采用了基于时间积分的改进边界条件数值实现方法。通过采用广义有限差分法(GFDM),可以灵活选择泰勒级数展开阶次,从而解决上述离散化过程在时间节点上产生的边界值问题。我们给出了四个数值示例,以说明所开发方法在精度和稳定性方面的表现。我们将获得的数值结果与分析解或使用 COMSOL 软件计算的结果进行了细致的比较。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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