Stable and high-order accurate finite difference methods for the diffusive viscous wave equation

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-08-01 Epub Date: 2025-01-06 DOI:10.1016/j.cam.2024.116476
Siyang Wang
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Abstract

The diffusive viscous wave equation describes wave propagation in diffusive and viscous media. Examples include seismic waves traveling through the Earth’s crust, taking into account of both the elastic properties of rocks and the dissipative effects due to internal friction and viscosity; acoustic waves propagating through biological tissues, where both elastic and viscous effects play a significant role. We propose a stable and high-order finite difference method for solving the governing equations. By designing the spatial discretization with the summation-by-parts property, we prove stability by deriving a discrete energy estimate. In addition, we derive error estimates for problems with constant coefficients using the normal mode analysis and for problems with variable coefficients using the energy method. Numerical examples are presented to demonstrate the stability and accuracy properties of the developed method.
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扩散粘性波动方程的稳定和高阶精确有限差分方法
扩散粘性波动方程描述了波在扩散介质和粘性介质中的传播。例子包括地震波穿过地壳,同时考虑岩石的弹性特性和由于内摩擦和黏性造成的耗散效应;声波在生物组织中传播,其中弹性和粘性效应都起着重要作用。我们提出了一种稳定的高阶有限差分法来求解控制方程。通过设计具有分部求和性质的空间离散化,通过导出离散能量估计来证明系统的稳定性。此外,我们用正态分析方法推导出常系数问题的误差估计,用能量法推导出变系数问题的误差估计。数值算例验证了该方法的稳定性和精度。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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