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An optimizing reduced PLSMFE formulation for non‐stationary conduction–convection problems
Author(s) -
Luo Zhendong,
Chen Jing,
Navon I. M.,
Zhu Jiang
Publication year - 2008
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.1900
Subject(s) - proper orthogonal decomposition , finite element method , point of delivery , mathematics , constraint (computer aided design) , galerkin method , thermal conduction , mathematical optimization , geometry , engineering , physics , agronomy , biology , structural engineering , thermodynamics
Abstract In this paper, proper orthogonal decomposition (POD) is combined with the Petrov–Galerkin least squares mixed finite element (PLSMFE) method to derive an optimizing reduced PLSMFE formulation for the non‐stationary conduction–convection problems. Error estimates between the optimizing reduced PLSMFE solutions based on POD and classical PLSMFE solutions are presented. The optimizing reduced PLSMFE formulation can circumvent the constraint of Babuška–Brezzi condition so that the combination of finite element subspaces can be chosen freely and allow optimal‐order error estimates to be obtained. Numerical simulation examples have shown that the errors between the optimizing reduced PLSMFE solutions and the classical PLSMFE solutions are consistent with theoretical results. Moreover, they have also shown the feasibility and efficiency of the POD method. Copyright © 2008 John Wiley & Sons, Ltd.