复杂多连通helmholtz型方程改进边界结法与基本解法的比较分析

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2025-06-01 Epub Date: 2025-01-23 DOI:10.1016/j.apm.2025.115971
M. Lei , T. Li , H. Meng
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引用次数: 0

摘要

本文研究了改进的边界结法和基本解法在求解多连通域内亥姆霍兹型方程中的性能。基本解的方法通常需要多层源点,导致优化其分布的过程繁琐且耗时。尽管传统的边界结方法通过使用非奇异一般解来规避这一挑战,但它往往难以为复杂问题提供令人满意的精度。为了解决这些局限性,提出了结合虚点技术的改进边界结方法。这些虚点可以灵活地定位在各种配置中,例如圆形或云状模式,位于问题域的内部或外部。为了进一步优化虚点位置,我们研究了自由参数虚点半径R对虚点位置的影响,其中采用了有效条件数和经济有效条件数两种策略进行了分析。最后,各种算例表明,改进的边界结法优于传统的边界结法。与基本解的方法相比,它简化了源/虚节点的放置,同时保持了精度。代码可从https://github.com/LT306/one/tree/main/IBKM获得
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Comparative analysis of the improved boundary knot and fundamental solutions methods for complex multi-connected Helmholtz-type equations
In this paper, the performance of the proposed improved boundary knot method and the method of fundamental solutions in solving Helmholtz-type equations within multi-connected domains is investigated. The method of fundamental solutions typically requires multiple layers of source points, resulting in a tedious and time-consuming process of optimizing their distribution. Although the traditional boundary knot method circumvents this challenge by using non-singular general solutions, it often struggles to deliver satisfactory accuracy for complex problems. To address these limitations, the improved boundary knot method that incorporates a ghost points technique is proposed. These ghost points can be positioned flexibly in various configurations, such as circular or cloud-like patterns, located either inside or outside the problem domain. To further optimize the ghost points' position, we study the influence of the free parameter ghost radius R, where two strategies, namely the effective condition number and economic effective condition number, are employed and analyzed. Finally, various examples demonstrate that the improved boundary knot method outperforms the conventional version. Compared to the method of fundamental solutions, it simplifies the placement of source/ghost nodes while maintaining accuracy. Code is available at https://github.com/LT306/one/tree/main/IBKM
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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