Guaranteed a-posteriori error estimation for finite element solutions of nonstationary heat conduction problems based on their elliptic reconstructions

IF 0.7 4区 数学 Q4 MATHEMATICS, APPLIED
Theofanis Strouboulis, Delin Wang
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引用次数: 0

Abstract

We deal with the a-posteriori estimation of the error for finite element solutions of nonstationary heat conduction problems with mixed boundary conditions on bounded polygonal domains. The a-posteriori error estimates are constucted by solving stationary “reconstruction” problems, obtained by replacing the time derivative of the exact solution by the time derivative of the finite element solution. The main result is that the reconstructed solutions, or reconstructions, are superconvergent approximations of the exact solution (they are more accurate than the finite element solution) when the error is measured in the gradient or the energy-norm. Because of this, the error in the gradient of the finite element solution can be estimated reliably, by computing its difference from the gradient of its reconstructions. Numerical examples show that “reconstruction estimates” are reliable for the most general classes of solutions which can occur in practical computations.

基于椭圆重构的非平稳热传导问题有限元解的保证后验误差估计
本文研究了有界多边形域上具有混合边界条件的非平稳热传导问题有限元解误差的后验估计。后验误差估计是通过求解平稳“重建”问题来构建的,通过用有限元解的时间导数代替精确解的时间导数来获得。主要结果是,当在梯度或能量范数中测量误差时,重构解或重建解是精确解的超收敛近似(它们比有限元解更精确)。因此,通过计算有限元解的梯度与其重建的梯度的差值,可以可靠地估计有限元解的梯度误差。数值算例表明,对于实际计算中可能出现的大多数一般类型的解,“重建估计”是可靠的。
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
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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