The Generalized Finite Element Method (GFEM) is an extension of the Finite Element Method (FEM), where the standard finite element space is augmented with a space of non-polynomial functions, called the enrichment space. The functions in the enrichment space mimic the local behavior of the unknown solution of the underlying variational problem. GFEM has been successfully applied to a wide range of problems. However, it often suffers from bad conditioning, i.e., its conditioning may not be robust with respect to the mesh and in fact, the conditioning could be much worse than that of the standard FEM. In this paper, we present a numerical study that shows that if the "angle" between the finite element space and the enrichment space is bounded away from 0, uniformly with respect to the mesh, then the GFEM is stable, i.e., the conditioning of GFEM is not worse than that of the standard FEM. A GFEM with this property is called a Stable GFEM (SGFEM). The last part of the paper is devoted to the derivation of a robust iterative solver exploiting this angle condition. It is shown that the required "wall-clock" time is greatly reduced compared to popular GFEMs used in the literature. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Zhu, Haodi
Zhao, Jianping
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Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Xinjiang Univ, Inst Math & Phys, Urumqi 830046, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Zhao, Jianping
Hou, Yanren
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Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Xi An Jiao Tong Univ, Sch Math & Stat, Xian 710049, Peoples R ChinaXinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
机构:
Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
Zhu, Pengfei
Zhang, Qinghui
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Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
Zhang, Qinghui
Liu, Tingyun
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Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
机构:
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510006, Peoples R China
Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R ChinaSun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510006, Peoples R China
Zhang, Qinghui
Babuska, Ivo
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Univ Texas Austin, ICES, Austin, TX 78712 USASun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510006, Peoples R China
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Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R ChinaSun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R China
Zhu, Pengfei
Zhang, Qinghui
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Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510006, Peoples R ChinaSun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Peoples R China
机构:
Harbin Inst Technol, Sch Sci, Shenzhen 518000, Peoples R ChinaHarbin Inst Technol, Sch Sci, Shenzhen 518000, Peoples R China
Gong, Wenbo
Zhang, Qinghui
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Harbin Inst Technol, Sch Sci, Shenzhen 518000, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou, Peoples R ChinaHarbin Inst Technol, Sch Sci, Shenzhen 518000, Peoples R China