Iterative algorithm for the conformal mapping from the unit disk to domains with regular boundaries

IF 2.2 3区 工程技术 Q2 MECHANICS Archive of Applied Mechanics Pub Date : 2025-01-03 DOI:10.1007/s00419-024-02749-5
Kai He, Chang Peng
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Abstract

Conformal mapping functions have significant applications in mechanics and other fields, and their computation methods have drawn considerable attention. We propose an iterative algorithm to compute the conformal mapping from the unit disk to physical domains with regular boundaries, defined by having only prime ends of the first kind. The mapping function is expanded into a Laurent series and use its truncated partial sum as an approximation. The Schwarz–Christoffel mapping formula provides the initial estimates for the series coefficients, which are then iteratively optimized. This algorithm efficiently handles complex domain shapes, such as winding orifices and slits, with high computational speed. Moreover, it offers valuable insights for designing algorithms to solve other types of conformal mapping problems and has practical significance in applications involving conformal mappings.

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单位圆盘到正则边界域的保角映射的迭代算法
保角映射函数在力学等领域有着重要的应用,其计算方法受到了广泛的关注。我们提出了一种迭代算法来计算从单位圆盘到具有规则边界的物理域的共形映射,该映射由只有第一类素数端点定义。将映射函数展开为洛朗级数,并使用其截断的部分和作为近似值。Schwarz-Christoffel映射公式提供了序列系数的初始估计,然后迭代优化。该算法能有效地处理缠绕孔、狭缝等复杂的区域形状,计算速度快。此外,它还为设计求解其他类型保角映射问题的算法提供了有价值的见解,并且在涉及保角映射的应用中具有实际意义。
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来源期刊
CiteScore
4.40
自引率
10.70%
发文量
234
审稿时长
4-8 weeks
期刊介绍: Archive of Applied Mechanics serves as a platform to communicate original research of scholarly value in all branches of theoretical and applied mechanics, i.e., in solid and fluid mechanics, dynamics and vibrations. It focuses on continuum mechanics in general, structural mechanics, biomechanics, micro- and nano-mechanics as well as hydrodynamics. In particular, the following topics are emphasised: thermodynamics of materials, material modeling, multi-physics, mechanical properties of materials, homogenisation, phase transitions, fracture and damage mechanics, vibration, wave propagation experimental mechanics as well as machine learning techniques in the context of applied mechanics.
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