Volume 43 Issue 10
Oct.  2022
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齐进, 吴锤结. 可压缩Navier-Stokes方程的时空耦合优化低维动力系统建模方法[J]. Applied Mathematics and Mechanics, 2022, 43(10): 1053-1085. doi: 10.21656/1000-0887.430220
Citation: 齐进, 吴锤结. 可压缩Navier-Stokes方程的时空耦合优化低维动力系统建模方法[J]. Applied Mathematics and Mechanics, 2022, 43(10): 1053-1085. doi: 10.21656/1000-0887.430220

可压缩Navier-Stokes方程的时空耦合优化低维动力系统建模方法

doi: 10.21656/1000-0887.430220
  • Received Date: 2022-07-01
  • Rev Recd Date: 2022-09-30
  • Available Online: 2022-10-20
  • Publish Date: 2022-10-31
  • 当采用低维动力系统模型研究Navier-Stokes方程的动力学性质时,保持低维模型的吸引域与Navier-Stokes方程的吸引域相同是非常重要的。然而,到目前为止,还没有一种普适的方法能确保对于一般问题都能达到这一目的。该文发现任何基于空间基的低维模型,如本征正交分解基、优化空间基和其他经典空间基,都不具有可预测性,即低维动力系统的误差随着流场的时间演化而增大。在构造优化动力系统的理论框架和时空耦合谱展开的新概念下,该文构造了可压缩Navier-Stokes方程的低维模型来逼近大涡模拟方程的数值解,给出了高精度的流场数值模拟结果和全新的时空耦合基时空演化数值结果。全场误差在10−2%以下,而每个网格点的平均误差在10−8%以下。时空耦合化化低维动力系统可以保证低维模型的吸引域与Navier-Stokes方程的吸引域相同。因此,保证了时空耦合优化低维动力系统的特征动力学性质与真实流场的特征动力学性质是一致的。

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  • [1]
    POPE S B. Turbulent Flows[M]. Cambridge: Cambridge University Press, 2000.
    [2]
    HOFMES P, LUMLEY J L, BERKOOZ G. Turbulence, Coherent Structures, Dynamical Systems and Symmetry[M]. Cambridge: Cambridge University Press, 1996.
    [3]
    HOLMES P, LUMLEY J L, BERKOOZ G, et al. Turbulence, Coherent Structures, Dynamical Systems and Symmetry[M]. Cambridge: Cambridge University Press, 2012.
    [4]
    HALLER G. Lagrangian structures coherent[J]. Annual Review of Fluid Mechanics, 2015, 47: 137-162. doi: 10.1146/annurev-fluid-010313-141322
    [5]
    MENEVEAU C. Lagrangian dynamics and models of the velocity gradient tensor in turbulent flows[J]. Annual Review of Fluid Mechanics, 2011, 43: 219-245. doi: 10.1146/annurev-fluid-122109-160708
    [6]
    REMPFER D. Low-dimensional modeling and numerical simulation of transition in simple shear flows[J]. Annual Review of Fluid Mechanics, 2003, 35: 229-265. doi: 10.1146/annurev.fluid.35.030602.113908
    [7]
    WIGGINS S. The dynamical systems approach to Lagrangian transport in oceanic flows[J]. Annual Review of Fluid Mechanics, 2005, 37: 295-328. doi: 10.1146/annurev.fluid.37.061903.175815
    [8]
    SHIRER H N. Nonlinear Hydrodynamic Modeling: a Mathematical Introduction[M]. Springer-Verlag, 1987.
    [9]
    DANIELSON T J, OTTINO J M. Structural stability in two-dimensional model flows: Lagrangian and Eulerian turbulence[J]. Physics of Fluids A, 1990, 2(11): 2024-2035. doi: 10.1063/1.857677
    [10]
    LUMLEY J L. The structure of inhomogeneous turbulent flows[C]//Atmospheric Turbulence and Radio Wave Propagation. Moscow: Nauka, 1967: 166-178.
    [11]
    POJE C, LUMLEY J L. A model for large scale structures in turbulence shear flows[J]. Journal of Fluid Mechanics, 1995, 285: 349-369. doi: 10.1017/S0022112095000577
    [12]
    LUMLEY J L. Coherent structures in turbulence[J]. Transition and Turbulence, 1981: 215-242.
    [13]
    LOÉVE M. Probability Theory[M]. Princeton: D. Van Nostrand Co Inc, 1963: 477-485.
    [14]
    PREISENDORFER R W. Principal Component Analysis in Meteorology and Oceanography[M]. Elservier, 1988.
    [15]
    BERKOOZ G, HOLMES P, LUMLEY J L. The proper orthogonal decomposition in the analysis of turbulent flows[J]. Annual Review of Fluid Mechanics, 1993, 25: 539-575. doi: 10.1146/annurev.fl.25.010193.002543
    [16]
    WU C J. Optimal truncated low-dimensional dynamical systems[J]. Discrete and Continuous Dynamical Systems, 1996, 2(4): 559-583. doi: 10.3934/dcds.1996.2.559
    [17]
    WU C J, SHI H S. An optimal theory for an expansion of flow quantities to capture the flow structures[J]. Fluid Dynamics Research, 1996, 17(2): 67-85. doi: 10.1016/0169-5983(95)00024-0
    [18]
    WANG L. Applications of optimization methods in fluid mechanics[D]. Master Thesis. Nanjing: PLA University of Science and Technology, 2003.
    [19]
    WU C J, WANG L. A method of constructing a database-free optimal dynamical system and a global optimal dynamical system[J]. Science in China, Series G: Physics, Mechanics and Astronomy, 2008, 51(7): 905-915. doi: 10.1007/s11433-008-0081-y
    [20]
    WU C J, ZHAO H L. Optimal low dimensional dynamical system modeling method for coherent structure of turbulence[C]//Proceedings of the Fifth National Conference on Turbulence and Flow Stability. Wuhan: Chinese Society of Mechanics, 1997.
    [21]
    WU C J, ZHAO H L. Generalized HWD-POD method and coupling low-dimensional dynamical systems onturbulence, dynamical systems and differential equation[J]. American Institute of Mathematical Sciences, 2001, 2001: 371-379.
    [22]
    WU C J, ZHAO H L. A new database-free method of constructing optimal low-dimensional dynamical systemsand its application[J]. Acta Mechanica Sinica, 2001, 33(3): 289-300.
    [23]
    ZHAO H L. Optimal low-dimensional dynamical systems in fluid dynamics[D]. Master Thesis. Nanjing: Air Force Institute of Meteorology, 1998.
    [24]
    PENG N F, GUAN H, WU C J. Research on the optimal dynamical systems of three-dimensional Navier-Stokes equations based on weighted residual[J]. Science China: Physics, Mechanics & Astronomy, 2016, 59(4): 644701.
    [25]
    PENG N F, GUAN H, WU C J. Optimal dynamical systems of Navier-Stokes equations based on generalized helical-wave bases and the fundamental elements of turbulence[J]. Science China: Physics, Mechanics & Astronomy, 2016, 59(11): 114713.
    [26]
    WANG J C, QI J, WU C J. Analysis and modelling of optimal dynamical systems of incompressible Navier-Stokes equations[J]. Applied Mathematics and Mechanics, 2020, 41(1): 1-15. doi: 10.1007/s10483-020-2560-6
    [27]
    WANG J C, QI J, WU C J. Modelling and dynamics analysis of optimal dynamical systems of fluctuation velocity equations for incompressible Navier-Stokes equations[J]. Applied Mathematics and Mechanics, 2020, 41(3): 235-249.
    [28]
    WANG J C, QI J, WU C J. Modelling and analysis of optimal dynamical systems of incompressible Navier-Stokes equations with pressure base functions[J]. Applied Mathematics and Mechanics, 2020, 41(8): 817-833.
    [29]
    LEONI G. A first course in Sobolev spaces[D]. Pittsburgh: Carnegie Mellon University, 2009.
    [30]
    ZHANG G Q, LIN Y Q. Lecture Notes of Functional Analysis[M]. Beijing: Peking University Press, 2013.
    [31]
    HAND L N, FINCH J D. Analytical Mechanics[M]. Cambridge: Cambridge University Press, 1998.
    [32]
    SAMTANEY R, PULLIN D I, KOSOVIĆ B. Direct numerical simulation of decaying compressible turbulence and shocklet statistics[J]. Physics of Fluids, 2001, 13(5): 1415-1430. doi: 10.1063/1.1355682
    [33]
    SHEN W D, TONG J G. Engineering Thermodynamics[M]. Beijing: Higher Education Press, 2007: 62-63.
    [34]
    ZHANG Y J, WANG P, HAN Z X, et al. Complete Works of Fluid Mechanics[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 1991.
    [35]
    SUTHERLAND W. The viscosity of gases and molecular force[J]. Philosophical Magazine, 1893, 36(223): 507-531.
    [36]
    FORD W. Numerical Linear Algebra With Applications[M]. London: Academic Press, 2014.
    [37]
    BUI T T. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows[J]. Computers & Fluids, 2000, 29(8): 877-915.
    [38]
    FAVRE A. Equations des gazturbulents compressible, Ⅰ: forms generals[J]. Journal de Mécanique, 1965, 4(2): 361.
    [39]
    FAVRE A. Equations des gazturbulents compressible, Ⅱ: méthode des vitesses moyennes, méthode des vitesses macroscopiques pondérées par la mass volumique[J]. Journal de Mécanique, 1965, 4(3): 391.
    [40]
    SMAGORINSKY U. General circulation experiments with the primitive equations, Ⅰ: the basic experiment[J]. Monthly Weather Review, 1963, 91(3): 99-164. doi: 10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2
    [41]
    YE Q K, WANG Z M. Numerical Methods in Optimization and Optimal Control[M]. Beijing: Science Press, 1986.
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