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Geometrical design of blade's surface and boundary control of Navier-Stokes equations

机译:叶片表面的几何设计和Navier-Stokes方程的边界控制

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摘要

In this article a new principle of geometric design for blade's surface of an impeller is provided. This is an optimal control problem for the boundary geometric shape of flow and the control variable is the surface of the blade. We give a minimal functional depending on the geometry of the blade's surface and such that the flow's loss achieves minimum. The existence of the solution of the optimal control problem is proved and the Euler-Lagrange equations for the surface of the blade are derived. In addition, under a new curvilinear coordinate system, the flow domain between the two blades becomes a fixed hexahedron, and the surface as a mapping from a bounded domain in R~2 into R~3 , is explicitly appearing in the objective functional. The Navier-Stokes equations, which include the mapping in their coefficients, can be computed by using operator splitting algorithm. Furthermore, derivatives of the solution of Navier-Stokes equations with respect to the mapping satisfy linearized Navier-Stokes equations which can be solved by using operator splitting algorithms too. Hence, a conjugate gradient method can be used to solve the optimal control problem.
机译:在本文中,提供了叶轮叶片表面几何设计的新原理。对于流动的边界几何形状,这是一个最佳控制问题,控制变量是叶片的表面。我们根据叶片表面的几何形状提供最小的功能,以使流量损失达到最小。证明了最优控制问题解的存在性,并推导了叶片表面的欧拉-拉格朗日方程。另外,在新的曲线坐标系下,两个叶片之间的流动域成为固定的六面体,并且表面作为从R〜2中的有界区域到R〜3的映射明确地出现在目标函数中。 Navier-Stokes方程(包括其系数中的映射)可以通过使用运算符拆分算法来计算。此外,相对于映射的Navier-Stokes方程解的导数满足线性化的Navier-Stokes方程,也可以通过使用算子拆分算法来求解。因此,共轭梯度法可以用来解决最优控制问题。

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