通过添加任意粗糙度在表面形成逼真图案

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED SIAM Journal on Applied Mathematics Pub Date : 2024-06-03 DOI:10.1137/22m1518001
Siqing Li, Leevan Ling, Steven J. Ruuth, Xuemeng Wang
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引用次数: 0

摘要

SIAM 应用数学杂志》第 84 卷第 3 期第 1163-1185 页,2024 年 6 月。 摘要我们对生成任意粗糙度的表面以及在表面上形成图案感兴趣。我们采用两种方法来构造粗糙表面。在第一种方法中,使用一些具有随机频率和传播角度的波函数叠加,得到具有解析参数方程的周期性粗糙表面。这种表面的振幅也是拉普拉斯-贝尔特拉米算子特征值分析和图案形成过程中的一个重要变量。数值实验表明,随着粗糙表面振幅和频率的增加,图案会变得不规则。为了便于推广到封闭流形,我们提出了粗糙表面的第二种构造方法,即使用随机节点值和离散化热滤波器。我们提供的数值证据表明,这两种表面构建方法产生的图案与现实生活中动物所观察到的图案具有可比性。
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Realistic Pattern Formations on Surfaces by Adding Arbitrary Roughness
SIAM Journal on Applied Mathematics, Volume 84, Issue 3, Page 1163-1185, June 2024.
Abstract. We are interested in generating surfaces with arbitrary roughness and forming patterns on the surfaces. Two methods are applied to construct rough surfaces. In the first method, some superposition of wave functions with random frequencies and angles of propagation are used to get periodic rough surfaces with analytic parametric equations. The amplitude of such surfaces is also an important variable in the provided eigenvalue analysis for the Laplace–Beltrami operator and in the generation of pattern formation. Numerical experiments show that the patterns become irregular as the amplitude and frequency of the rough surface increase. For the sake of easy generalization to closed manifolds, we propose a second construction method for rough surfaces, which uses random nodal values and discretized heat filters. We provide numerical evidence that both surface construction methods yield comparable patterns to those observed in real-life animals.
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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