矩阵元素法的应用:复杂介质中承波空腔的模式匹配方法

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Hazrat Bilal , Muhammad Afzal
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引用次数: 0

摘要

本研究采用了一种分析方案,可用于研究具有柔性边界的耗散装置中流体与结构耦合波的反射、透射和吸收。该方法基于等值积分,避免了复杂频散关系的繁琐寻根过程,从而消除了缺根误差。该程序包括应用模式匹配技术和广义正交关系,将微分系统转换为线性代数系统。矩阵元素涉及有限腔体中的未知波数,该腔体具有承波边界和填充腔体区域的多孔材料,并用滤网与空气隔开。由于介质的吸波特性,波数是复杂的,因此使用等高线积分法重新计算矩阵元素,而不需要明确的波数信息。研究发现,通过改变吸收材料的特性和膜参数,可以优化衰减行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of the matrix element method: A mode-matching approach for wave-bearing cavities in complex media
The present study employs an analytical scheme useful for investigating the reflection, transmission, and absorption of fluid–structure coupled waves in a dissipative device with flexible boundaries. The method is based on contour integration, which avoids the cumbersome root-finding processes for complex dispersion relations, thereby eliminating the error of missing roots. The procedure involves applying the mode matching technique along with the generalized orthogonality relation to transform the differential system into linear algebraic systems. The matrix elements involve unknown wavenumbers in the finite chamber with wave-bearing boundaries and porous material filling the cavity region, separated from air by a screen. Due to the absorbing properties of the medium, the wavenumbers are complex, and the matrix elements are reformulated using contour integration without needing explicit information about the wavenumbers. It is found that by changing the properties of absorbent material and membrane parameters the attenuation behavior can be optimized.
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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