Space–time non-local multi-continua multiscale method for channelized-media parabolic equations

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-12-01 Epub Date: 2025-04-04 DOI:10.1016/j.cam.2025.116669
Jiuhua Hu , Wing Tat Leung , Eric Chung
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Abstract

In this paper, we consider a parabolic problem with time-dependent heterogeneous coefficients. Many applied problems have coupled spatial and temporal heterogeneities. Their homogenization or upscaling requires cell problems that are formulated in space–time representative volumes for problems with scale separation. In problems without scale separation, local problems include multiple macroscopic variables and oversampled local problems, where these macroscopic parameters are computed. These approaches, called Non-local multi-continua, are proposed for problems with complex spatial heterogeneities in a number of previous papers. In this paper, we extend this approach to handle space–time heterogeneities, by identifying macroscopic parameters in space–time regions. Our proposed method space–time Non-local multi-continua (space–time NLMC) offers an efficient numerical solver to deal with time-dependent heterogeneous coefficients. It provides a flexible and systematic approach to construct multiscale basis functions, enabling accurate approximation of the solution. The construction of these multiscale basis functions involves solving local energy minimization problems within the oversampled space–time regions. The resulting basis functions exhibit exponential decay outside the selected domain. Unlike the classical time-stepping methods combined with full-discretization technique, our space–time NLMC efficiently constructs the multiscale basis functions in the space–time domain, resulting in computational savings compared to space-only approaches as discussed in the paper. We present two numerical experiments that demonstrate the accuracy and effectiveness of the proposed approach.
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通道介质抛物方程的时空非局部多连续多尺度方法
本文研究了一类非均质系数随时间变化的抛物型问题。许多应用问题都具有时空异质性。它们的均质化或上尺度化需要在时空代表体积中对尺度分离问题进行表述的细胞问题。在无尺度分离问题中,局部问题包括多个宏观变量和过采样局部问题,其中这些宏观参数都是计算得到的。这些方法被称为非局部多连续体,在以前的一些论文中被提出用于具有复杂空间异质性的问题。在本文中,我们通过识别时空区域中的宏观参数,将这种方法扩展到处理时空异质性。我们提出的时空非局部多连续(时空NLMC)方法为处理时变非均质系数提供了一种有效的数值求解方法。它提供了一种灵活和系统的方法来构建多尺度基函数,使解的精确逼近成为可能。这些多尺度基函数的构造涉及到解决过采样时空区域内的局部能量最小化问题。所得到的基函数在所选域外表现出指数衰减。与经典的时间步进方法与完全离散化技术相结合的方法不同,我们的时空NLMC有效地在时空域中构建了多尺度基函数,与本文讨论的仅限空间的方法相比,节省了计算量。我们给出了两个数值实验,证明了该方法的准确性和有效性。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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