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AN OPTIMAL CONTROL APPROACH TO DRAG MINIMIZATION OF BODIES IN TURBULENT FLOW

机译:湍流中拖曳机构最小化的最佳控制方法

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An optimal control approach for design of minimum drag bodies with a turbulent flow model is proposed. The flow is assumed to be governed by steady-state, incompressible Reynolds Averaged Navier-Stokes (RANS) equations. A set of "adjoint" equations is introduced, the solution to which along with the solution to the "direct" RANS equations permit the calculation of the direction and relative magnitude of the change in body profile that leads to a lower drag. Local or global geometry constraints can also be imposed during the optimization process. Each successive shape modification lowers the drag of the body and once this process converges, in principle one would obtain a minimum drag body. The adjoint equations are derived using Dirichlet-type boundary conditions at far field. The numerical computations however are carried out with far field conditions obtained by examination of the characteristics of the equations in the absence of viscous terms. Two-dimensional minimum drag bodies at Reynolds numbers of 6×10{sup}6 and 8×10{sup}6 are obtained using this approach. A geometrical constraint of fixed sectional area is imposed in these calculations.
机译:提出了一种利用湍流模型设计最小阻力体的最佳控制方法。假设流量被稳态,不可压缩的雷诺平均天Navier-Stokes(RANS)方程来控制。介绍了一组“伴随”方程式,以及与“直接”RAN方程的解决方案一起允许计算身体轮廓的变化的方向和相对幅度,从而导致较低的阻力。在优化过程中也可以施加本地或全局几何约束。每个连续的形状修改降低了身体的拖动,并且一旦该过程收敛,原则上就会获得最小拖动体。使用远场的Dirichlet型边界条件导出伴随方程。然而,数值计算是通过在不存在粘性术语的情况下通过检查方程的特性而获得的远场条件进行的。使用这种方法获得雷诺数为6×10 {sup} 6和8×10 {sup} 6的二维最小阻力体。在这些计算中施加固定截面区域的几何约束。

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