Mathematical modeling and numerical multigoal-oriented a posteriori error control and adaptivity for a stationary, nonlinear, coupled flow temperature model with temperature dependent density

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED Computers & Mathematics with Applications Pub Date : 2024-09-24 DOI:10.1016/j.camwa.2024.09.017
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引用次数: 0

Abstract

In this work, we develop adaptive schemes using goal-oriented error control for a highly nonlinear flow temperature model with temperature dependent density. The dual-weighted residual method for computing error indicators to steer mesh refinement and solver control is employed. The error indicators are used to employ adaptive algorithms, which are substantiated with several numerical tests. Therein, error reductions and effectivity indices are consulted to establish the robustness and efficiency of our framework.
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静态、非线性、密度随温度变化的耦合流动温度模型的数学建模和面向多目标的后验误差控制与适应性数值计算
在这项工作中,我们针对密度随温度变化的高度非线性流动温度模型,开发了采用目标导向误差控制的自适应方案。采用双加权残差法计算误差指标,以引导网格细化和求解器控制。误差指标用于采用自适应算法,并通过若干数值测试加以证实。在此过程中,误差减小和效果指数可用于确定我们框架的稳健性和效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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