用节点积分法求解Navier-Stokes方程的修正预条件Newton-Krylov逼近

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2025-01-09 DOI:10.1016/j.camwa.2024.12.027
Nadeem Ahmed , Suneet Singh , Ram Prakash Bharti
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引用次数: 0

摘要

节点积分方法(nim)通过在较粗糙的网格上提供精确的解,在解决广泛的科学和工程问题方面已被证明是有效的。尽管具有显著的优势,但这些方法在流体学界的接受程度有限,主要是由于使用NIM进行离散化产生的代数方程缺乏鲁棒和有效的非线性求解器。为了克服这一限制,最近开发了一种无雅可比预条件牛顿-克雷洛夫方法来求解Navier-Stokes方程。所开发的方法扩展了NIM的可接受性,并在计算时间上取得了可观的收益。然而,所提出的方法的效率仍然存在挑战,特别是在求解压力泊松方程时。为了解决这个问题,我们提供了新的策略和算法来求解压力泊松方程。这些策略旨在提高NIMs的计算效率,使其更有效地解决科学和工程应用中的复杂问题。
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Modified preconditioned Newton-Krylov approaches for Navier-Stokes equations using nodal integral method
Nodal integral methods (NIMs) have been proven effective in solving a wide range of scientific and engineering problems by providing accurate solutions with coarser grids. Despite notable advantages, these methods have encountered limited acceptance within the fluid flow community, primarily due to the lack of robust and efficient nonlinear solvers for the algebraic equations arising from discretization using NIM. A preconditioned Jacobian-free Newton-Krylov approach has been recently developed to solve Navier-Stokes equations to overcome this limitation. The developed approach has extended the acceptability of NIM and demonstrated considerable gains in computational time. However, a challenge persists in the efficiency of the proposed approach, particularly in solving the pressure Poisson equation. Addressing this, we offer novel strategies and algorithms to solve the pressure Poisson equation. These strategies aim to improve the computational efficiency of NIMs, making them more effective in solving complex problems in scientific and engineering applications.
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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