An implicit velocity decoupling procedure for the incompressible Navier-Stokes equations
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作者:
Kim, K
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Korea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South Korea
Kim, K
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Baek, SJ
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Korea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South Korea
Baek, SJ
[1
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Sung, HJ
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Korea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South KoreaKorea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South Korea
Sung, HJ
[1
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[1] Korea Adv Inst Sci & Technol, Dept Mech Engn, Yusong Ku, Taejon 305701, South Korea
An efficient numerical method to solve the unsteady incompressible Navier-Stokes equations is developed. A fully implicit time advancement is employed to avoid the Courant-Friedrichs-Lewy restriction, where the Crank-Nicolson discretization is used for both the diffusion and convection terms. Based on a block LU decomposition, velocity-pressure decoupling is achieved in conjunction with the approximate factorization. The main emphasis is placed on the additional decoupling of the intermediate velocity components with only nth time step velocity. The temporal second-order accuracy is preserved with the approximate factorization without any modification of boundary conditions. Since the decoupled momentum equations are solved without iteration, the computational time is reduced significantly. The present decoupling method is validated by solving several test cases, in particular, the turbulent minimal channel flow unit. Copyright (C) 2002 John Wiley Sons, Ltd.
机构:
Inst Appl Phys & Computat Math, Beijing 100088, Peoples R China
North China Univ Water Resources & Elect Power, Coll Math & Informat Sci, Zhengzhou 450046, Peoples R ChinaInst Appl Phys & Computat Math, Beijing 100088, Peoples R China
Yang JianWei
Wang Shu
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Beijing Univ Technol, Coll Appl Sci, Beijing 100022, Peoples R ChinaInst Appl Phys & Computat Math, Beijing 100088, Peoples R China
机构:
Institute of Applied Physics and Computational Mathematics
College of Mathematics and Information Science,North China University of Water Resources and Electric PowerInstitute of Applied Physics and Computational Mathematics
YANG JianWei
WANG Shu
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College of Applied Sciences,Beijing University of TechnologyInstitute of Applied Physics and Computational Mathematics