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arXiv 2102.11536math.NAcs.NA
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结构动力等几何分析的显式高阶广义$α$方法

Explicit high-order generalized-$α$ methods for isogeometric analysis of structural dynamics

Pouria Behnoudfar, Gabriele Loli, Alessandro Reali, Giancarlo Sangalli, Victor M. Calo

摘要:

提出了一类新的高阶显式广义$α$方法,用于求解具有耗散控制的双曲型问题。我们的方法提供了$2k,\, \left(k \in \mathbb{N}\right)$的准确性顺序的时间,明确解决$k$矩阵系统和更新其他$2k$变量在每个时间步。用户可以通过调整该方法的系数来控制离散频谱高频区域的数值耗散。我们研究了该方法的频谱行为,并表明CFL条件是独立的精度顺序。当我们增加精度阶数时,稳定区域保持不变。接下来,我们利用有效的预条件的等几何矩阵,以尽量减少计算成本。这些预处理器使用一个对角缩放的克罗内克产品的单变量参数质量矩阵,他们有一个强大的性能样条度和网格步长,和他们的分解结构意味着他们的应用程序比涉及完全组装的质量矩阵矩阵的矩阵矢量积更快。我们的高阶计划需要简单的修改的广义$α$方法的可用实现。最后,我们提出了数值例子,证明该方法的性能单和多补丁IGA离散化。

英文摘要:

We propose a new family of high-order explicit generalized-$α$ methods for hyperbolic problems with the feature of dissipation control. Our approach delivers $2k,\, \left(k \in \mathbb{N}\right)$ accuracy order in time by solving $k$ matrix systems explicitly and updating the other $2k$ variables at each time-step. The user can control the numerical dissipation in the discrete spectrum's high-frequency regions by adjusting the method's coefficients. We study the method's spectrum behaviour and show that the CFL condition is independent of the accuracy order. The stability region remains invariant while we increase the accuracy order. Next, we exploit efficient preconditioners for the isogeometric matrix to minimize the computational cost. These preconditioners use a diagonal-scaled Kronecker product of univariate parametric mass matrices; they have a robust performance with respect to the spline degree and the mesh size, and their decomposition structure implies that their application is faster than a matrix-vector product involving the fully-assembled mass matrix. Our high-order schemes require simple modifications of the available implementations of the generalized-$α$ method. Finally, we present numerical examples demonstrating the methodology's performance regarding single- and multi-patch IGA discretizations.

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