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:
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
机构:
N China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Luo Zhendong
Xie Zhenghui
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Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
Xie Zhenghui
Chen Jing
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China Agr Univ, Coll Sci, Beijing 100083, Peoples R ChinaN China Elect Power Univ, Sch Math & Phys, Beijing 102206, Peoples R China
机构:
China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, London SW7 2BP, EnglandChina Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
Xiao, D.
Fang, F.
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Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, London SW7 2BP, EnglandChina Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
Fang, F.
Pain, C.
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Univ London Imperial Coll Sci Technol & Med, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, London SW7 2BP, EnglandChina Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
Pain, C.
Hu, G.
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China Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R ChinaChina Univ Geosci, State Key Lab Geol Proc & Mineral Resources, Wuhan 430074, Peoples R China
机构:
Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R China
Li, Buyang
Ma, Shu
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Hong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R China
Ma, Shu
Wang, Na
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Beijing Computat Sci Res Ctr, Beijing 100193, Peoples R ChinaHong Kong Polytech Univ, Dept Appl Math, Hung Hom, Hong Kong, Peoples R China