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首页> 外文期刊>Computational Mechanics: Solids, Fluids, Fracture Transport Phenomena and Variational Methods >Finite and spectral cell method for wave propagation in heterogeneous materials
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Finite and spectral cell method for wave propagation in heterogeneous materials

机译:波在异质材料中传播的有限和光谱单元法

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摘要

In the current paper we present a fast, reliable technique for simulating wave propagation in complex structures made of heterogeneous materials. The proposed approach, the spectral cell method, is a combination of the finite cellmethod and the spectral element method that significantly lowers preprocessing and computational expenditure. The spectral cell method takes advantage of explicit timeintegration schemes coupled with a diagonal mass matrix to reduce the time spent on solving the equation system. By employing a fictitious domain approach, this method also helps to eliminate some of the difficulties associated with mesh generation. Besides introducing a proper, specific mass lumping technique, we also study the performance of the low-order and high-order versions of this approach based on several numerical examples. Our results show that the highorder version of the spectral cell method together requires less memory storage and less CPU time than other possible versions, when combined simultaneously with explicit timeintegration algorithms. Moreover, as the implementation of the proposed method in available finite element programs is straightforward, these properties turn the method into a viable tool for practical applications such as structural health monitoring 1–3, quantitative ultrasound applications 4, or the active control of vibrations and noise 5,6.
机译:在本论文中,我们提出了一种快速、可靠的技术,用于模拟由非均质材料制成的复杂结构中的波传播。所提出的方法,即光谱单元法,是有限单元法和光谱元方法的结合,可显著降低预处理和计算支出。光谱单元方法利用显式时间积分方案与对角线质量矩阵相结合,以减少求解方程组所花费的时间。通过采用虚构域方法,该方法还有助于消除与网格生成相关的一些困难。除了引入适当的、特定的质量集总技术外,我们还基于几个数值示例研究了该方法的低阶和高阶版本的性能。我们的结果表明,与其他可能的版本相比,当与显式时间积分算法同时结合时,光谱单元方法的高阶版本需要更少的内存存储和更少的CPU时间。此外,由于所提出的方法在可用的有限元程序中的实现非常简单,因此这些特性使该方法成为实际应用的可行工具,例如结构健康监测[1–3]、定量超声应用[4]或振动和噪声的主动控制[5,6]。

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