A POD-Based Reduced-Order Stabilized Crank-Nicolson MFE Formulation for the Non-Stationary Parabolized Navier-Stokes Equations
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作者:
Luo, Zhendong
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North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo, Zhendong
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机构:
[1] North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
We firstly employ a proper orthogonal decomposition (POD) method, Crank-Nicolson (CN) technique, and two local Gaussian integrals to establish a POD-based reduced-order stabilized CN mixed finite element (SCNMFE) formulation with very few degrees of freedom for non-stationary parabolized Navier-Stokes equations. Then, the error estimates of the reduced-order SCNMFE solutions, which are acted as a suggestion for choosing number of POD basis and a criterion for updating POD basis, and the algorithm implementation for the POD-based reduced-order SCN-MFE formulation are provided, respectively. Finally, some numerical experiments are presented to illustrate that the numerical results are consistent with theoretical conclusions. Moreover, it is shown that the reduced-order SCNMFE formulation is feasible and efficient for finding numerical solutions of the non-stationary parabolized Navier-Stokes equations.
机构:
SISSA, Int Sch Adv Studies, Math Area, MathLab, Via Bonomea 265, I-34136 Trieste, ItalySISSA, Int Sch Adv Studies, Math Area, MathLab, Via Bonomea 265, I-34136 Trieste, Italy
Girfoglio, Michele
Quaini, Annalisa
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Univ Houston, Dept Math, Houston, TX 77204 USASISSA, Int Sch Adv Studies, Math Area, MathLab, Via Bonomea 265, I-34136 Trieste, Italy
Quaini, Annalisa
Rozza, Gianluigi
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SISSA, Int Sch Adv Studies, Math Area, MathLab, Via Bonomea 265, I-34136 Trieste, ItalySISSA, Int Sch Adv Studies, Math Area, MathLab, Via Bonomea 265, I-34136 Trieste, Italy
机构:
North China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo, Zhendong
Jin, Shiju
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North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R ChinaNorth China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China