返回
Output-based error estimation and mesh adaptation for variational multiscale methods
DOI:10.1016/j.cma.2017.05.008.png)
摘要
En 中文
Duality-based approaches to estimate errors for functional output quantities require the solution of an auxiliary dual problem. This dual solution must be approximated in a richer function space than the one used for the original problem of interest. A novel strategy for dual enrichment is proposed based on variational multiscale (VMS) methods and an error representation for output quantities for VMS methods is derived. An implicit error estimate based on the derived error representation is compared to a recently developed explicit error estimate for VMS methods. It is shown that while both estimates are identical with respect to calculating the total output error, the newly derived estimate provides superior local indicators for use in driving mesh adaptivity. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
A posteriori
Error estimation
Mesh adaptation
Variational multiscale
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.3
论文数:
1.3W
被引数:
5.6W
机构
引用论文
A taxonomy of consistently stabilized finite element methods for the Stokes problemStokes问题的一致稳定有限元方法的分类法
Examining Critical Factors Affecting Knowledge Transfer in Public-Private Partnership (PPP) Projects

