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Simulation of J-Solution Solving Process of Navier–Stokes Equation
Mathematical Problems in Engineering Pub Date : 2021-05-07 , DOI: 10.1155/2021/9924948
Wenjie Wang 1 , Melkamu Teshome Ayana 2
Affiliation  

To avoid grid degradation, the numerical analysis of the j-solution of the Navier–Stokes equation has been studied. The Navier–Stokes equations describe the motion of viscous fluid substances. On the basis of the advantages and disadvantages of the Navier–Stokes equations, the incompressible terms and the nonlinear terms are separated, and the original boundary conditions satisfying the j-solution of the Navier–Stokes equation are analyzed. Secondly, the development of a computational grid has been introduced; the turbulence model has also been described. The fluid form and the initial value of the j-solution of the Navier–Stokes equation are combined. The original boundary conditions are solved by a computer, and the nonlinear turbulence equations are derived, which control the fluid flow. The simulation of the fine grid is comprehended to analyze the research outcome. Simulation analysis is carried out to generate multiblock-structured grids with high quality. The j-solution on the grid points is the j-solution that can be used with a fewer number of meshes under the same conditions. The proposed work is easy to implement, and it consumes lesser memory. The results obtained are able to avoid mesh degradation skillfully, and the generated mesh exhibits the characteristics of smoothness, orthogonality, and controllability, which eventually improves the calculation accuracy.

中文翻译:

Navier-Stokes方程的J解法过程的仿真

为了避免网格退化,已经研究了Navier–Stokes方程的j解的数值分析。Navier–Stokes方程描述了粘性流体物质的运动。根据Navier–Stokes方程的优缺点,将不可压缩项和非线性项分开,并分析了满足Navier–Stokes方程j解的原始边界条件。其次,介绍了计算网格的开发;还描述了湍流模型。流体形式与Navier–Stokes方程的j解的初始值结合在一起。用计算机求解原始边界条件,并推导控制流体流动的非线性湍流方程。细网格的模拟被理解为分析研究成果。进行仿真分析以生成高质量的多块结构的网格。网格点上的j解是可以在相同条件下与较少数量的网格一起使用的j解。拟议的工作很容易实现,并且占用较少的内存。获得的结果能够熟练地避免网格退化,并且生成的网格具有平滑度,正交性和可控性的特征,最终提高了计算精度。拟议的工作很容易实现,并且占用较少的内存。获得的结果能够巧妙地避免网格退化,并且生成的网格具有平滑度,正交性和可控性的特征,最终提高了计算精度。拟议的工作很容易实现,并且占用较少的内存。获得的结果能够熟练地避免网格退化,并且生成的网格具有平滑度,正交性和可控性的特征,最终提高了计算精度。
更新日期:2021-05-07
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