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首页> 外文期刊>Journal of Applied Mechanics: Transactions of the ASME >Kinematic Laplacian equation method: A velocity-vorticity formulation for the Navier-Stokes equations
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Kinematic Laplacian equation method: A velocity-vorticity formulation for the Navier-Stokes equations

机译:运动拉普拉斯方程法:Navier-Stokes方程的速度涡度公式

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摘要

In this work, a novel procedure to solve the Navier-Stokes equations in the vorticity-velocity formulation is presented. The vorticity transport equation is solved as an ordinary differential equation (ODE) problem on each node of the spatial discretization. Evaluation of the right-hand side of the ODE system is computed from the spatial solution for the velocity field provided by a new partial differential equation expression called the kinematic Laplacian equation (KLE). This complete decoupling of the two variables in a vorticity-in-time/velocity-in-space split algorithm reduces the number of unknowns to solve in the time-integration process and also favors the use of advanced ODE algorithms, enhancing the efficiency and robustness of time integration. The issue of the imposition of vorticity boundary conditions is addressed, and details of the implementation of the KLE by isoparametric finite element discretization are given. Validation results of the KLE method applied to the study of the classical case of a circular cylinder in impulsive-started pure-translational steady motion are presented. The problem is solved at several Reynolds numbers in the range 5 < Re < 180 comparing numerical results with experimental measurements and flow visualization plates. Finally, a recent result from a study on periodic vortex-array structures produced in the wake of forced-oscillating cylinders is included.
机译:在这项工作中,提出了一种新的程序来求解涡度-速度公式中的Navier-Stokes方程。涡度输运方程在空间离散化的每个节点上作为常微分方程(ODE)问题求解。 ODE系统右侧的评估是根据速度场的空间解计算的,该空间解是由一个新的称为运动拉普拉斯方程(KLE)的偏微分方程表达式提供的。时空涡动/空间速度分裂算法中两个变量的完全解耦减少了时间积分过程中要解决的未知数,并且有利于使用高级ODE算法,从而提高了效率和鲁棒性时间整合。解决了施加涡度边界条件的问题,并给出了通过等参有限元离散化实现KLE的详细信息。提出了将KLE方法用于研究脉冲启动的纯平移稳态运动中的经典情形的验证结果。通过将数值结果与实验测量值和流动可视化板进行比较,可以在5

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