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研究生: 徐健彬
論文名稱: 大渦數值模擬於方形管中之拉板-壓力及拉板驅動流
Large eddy simulation of turbulent Couette-Poiseuille and Couette flows inside a square duct
指導教授: 林昭安
口試委員:
學位類別: 碩士
Master
系所名稱: 工學院 - 動力機械工程學系
Department of Power Mechanical Engineering
論文出版年: 2009
畢業學年度: 97
語文別: 英文
論文頁數: 79
中文關鍵詞: 紊流拉板壓力大渦數值
相關次數: 點閱:3下載:0
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  • In the present study, the main focus is to explore the Couette effect on turbulent secondary
    structures by simulating the turbulent Poiseuille, Couette-Poiseuille and Couette flows
    inside a square duct where the bulk Reynolds number is kept around 10000. Both the
    Smagorinsky model with Van Direst damping function and the dynamic Smagorinsky model
    employed here predict the mean and turbulence quantities well by comparisons with DNS
    data. The present numerical method was validated by computing the Poiseuille flow, which
    was then used as base to explore influences of the moving wall on Couette-Poiseuille flows.
    The turbulence generated secondary flow is modified by the presence of the top moving
    wall, where the symmetric vortex pattern vanishes. It is interesting to note that a linear
    relation exits between the angle and the parameter r = Ww=Wbulk, and change in slope
    occurs at r » 1:5. Near the moving wall due to the reduction of the streamwise velocity
    fluctuation at the moving wall, turbulence structure gradually moves towards a rod-like
    axi-symmetric turbulence as r increases. As the wall velocity increases further for r > 1:5,
    the rod like structure disappears, and turbulence reverts to the disk like structure. The
    near wall structures are first visualized by the instantaneous velocity field in one cross-plane
    of the square duct after the flow has achieved fully developed state. Along the top moving
    wall, the low mean shear rate suppresses the generation of these turbulent structures.
    Therefore, near the top corners the ejection events from the side walls are the dominant
    structures.
    The present numerical procedures are capable of simulating complex turbulent wall-
    bounded flows. It is demonstrated that the present results have shown the influence of
    top moving wall on the turbulent levels and anisotropic. Scientifically, results of this
    prediction have great reference value for researchers concerning turbulent duct flows or
    turbulence modeling. Finally, this work will allow the industry to benefit from the design
    and optimization.


    1 Introduction 1 1.1 Large eddy simulation . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Literature survey . . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1 Dynamic Smagorinsky model . . . . . . . . . . . . . . . . . . 3 1.2.2 Turbulent Couette-Poiseuille flows . . . . . . . . . . . . . . . . 4 1.3 Objectives . . . . . . . . . . . . . . . . . . . 6 2 Mathematical Models 7 2.1 Governing Equations for Large Eddy Simulation . . . . . . . . . . . . 7 2.1.1 the ‾ltering operation . . . . . . . . . . . . . . . . . . . . . . 7 2.1.2 The ‾ltered Navier-Stokes operations . . . . . . . . . . . . . . 8 2.2 Sub-grid scale modeling . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.1 Smagorinsky model . . . . . . . . . . . . . . . . . . . . . . . . 10 2.2.2 Dynamic Smagorinsky model . . . . . . . . . . . . . . . . . . 11 3 Numerical Solution 14 3.1 Grid generation . . . . . . . . . . . . . . . . . . . . . . 14 3.2 Fractional step method . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2.1 Spatial discretization . . . . . . . . . . . . . . . . . . . . 16 3.3 The pressure Poisson equation . . . . . . . . . . . . . . . . . . . . . . 19 3.4 Boundary conditions . . . . . . . . . . . . . . . . . . . . . . 22 4 Numerical results 25 4.1 Fully developed turbulent channel flow . . . . . . . . . . . . . . . . . 25 4.2 Description of the turbulent flow in a square duct . . . . . . . . . . . 27 4.3 Validation on turbulent Poiseuille flow . . . . . . . . . . . . . . . . . 30 4.4 Mean flow ‾elds . . . . . . . . . . . . . . . . . . . . . . . . . 33 4.4.1 Turbulence ‾elds . . . . . . . . . . . . . . . . . . . . . . . . . 36 4.4.2 Reynolds stress anisotropy invariant functions . . . . . . . . . 38 4.4.3 Turbulence structures . . . . . . . . . . . . . . . . . . . . . . . 40 5 Conclusions and Further Work 73 5.1 Conclusions . . . . . . . . . . . . . . . . . . . . 73 5.2 Further Work . . . . . . . . . . . . . . . . . . . . . . . . . 75

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