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Numerical Simulations for Two-Dimensional Incompressible Navier-Stokes Equations with Stochastic Boundary Conditions

机译:带有随机边界条件的二维不可压缩Navier-Stokes方程的数值模拟

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The article mainly concerns modeling the stochastic input and its propagation in incompressible Navier-Stokes(N-S) flow simulations. The stochastic input is represented spectrally by employing orthogonal polynomial functionals from the Askey scheme as trial basis to represent the random space. A standard Galerkin projection is applied M the random dimension to derive the equations in the weak form. The resulting set of deterministic equations is then solved with standard methods to obtain the mean solution and variance of the stochastic velocity. In this article, the main method employs the Hermite polynomial as the basis in random space. Cavity problems arc given to demonstrate the process of numerical simulation. Furthermore. Monte-Carlo simulation method is applied to illustrate the accurate numerical results.
机译:本文主要涉及在不可压缩的Navier-Stokes(N-S)流动模拟中对随机输入及其传播进行建模。通过采用Askey方案的正交多项式函数作为试验基础来表示随机空间,可以从频谱上表示随机输入。对随机维度应用标准Galerkin投影,以推导弱形式的方程。然后,使用标准方法求解所得的确定性方程组,以获得随机速度的均值解和方差。在本文中,主要方法采用Hermite多项式作为随机空间的基础。给出空腔问题以说明数值模拟的过程。此外。运用蒙特卡罗仿真方法对数值结果进行了验证。

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