时间分数阶混合扩散与波动方程的高精度无网格方法

IF 3.3 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal for Numerical Methods in Engineering Pub Date : 2025-03-18 DOI:10.1002/nme.70020
Zehui Ma, Rahmatjan Imin
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引用次数: 0

摘要

本文提出了一种基于核导数自由光滑粒子流体力学(KDF-SPH)近似的无网格格式来求解时间分数阶混合扩散方程和波动方程。在卡普托意义上定义了时间分数阶导数,并采用有限差分法进行离散化。采用基于KDF-SPH的无网格方法进行空间离散化。从而得到了一个完全离散的无网格数值格式。同时,利用所得到的无网格离散格式求解了规则和不规则区域的时间分数阶混合扩散方程和波动方程的初边值问题,得到了较好的结果。通过与多种数值方法的比较,进一步验证了所提方法的准确性和有效性。
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A High-Precision Meshless Method for Time-Fractional Mixed Diffusion and Wave Equations

In this paper, a meshless scheme based on Kernel Derivative Free Smoothed Particle Hydrodynamics (KDF-SPH) approximation is proposed to solve the time-fractional mixed diffusion and wave equations. The time fractional derivative is defined in the Caputo sense, and we use the finite difference method to discretize. The meshless method based on KDF-SPH is used for spatial discretization. Thus, a fully discrete meshless numerical scheme is obtained. At the same time, we use the obtained meshless discrete scheme to solve the initial boundary value problems of time-fractional mixed diffusion and wave equations in regular and irregular regions, and we get good results. By comparing the proposed method with many numerical methods, the accuracy and effectiveness of the proposed method are further verified.

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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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