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THE UNSTEADY DISCRETE ADJOINT METHOD FOR TURBOMACHINERY APPLICATIONS

机译:涡轮机械应用的不稳定离散伴随方法

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The unsteady discrete adjoint method for the calculation of objective function gradients for transient turbomachinery compressible viscous flows is presented. The URANS state equations are used along with the one-equation Spalart-Allmaras model. The implementation relies on an existing unsteady three-dimensional unstructured grid solver and discrete adjoint capabilities previously developed for steady flows. The formulation of the adjoint equations is introduced within a generic time-dependent CFD optimal design problem. An adjoint sliding plane functionality is also presented in order to enable multi-row time-dependent adjoint calculations, exploiting the rotor-stator interface. Algorithmic Differentiation (AD) is used to compute differential terTwo testcases, a turbine vane and a turbine stage, are selected to demonstrate the feasibility of the method.
机译:介绍了用于计算瞬态涡轮机械压缩粘性流动物体函数梯度的不稳定离散伴随方法。 urans状态方程与单位Spalart-Allmaras模型一起使用。实施依赖于现有的不稳定三维非结构化网格求解器和先前为稳定流动开发的离散伴随能力。伴随方程的制定在通用时间相关的CFD最佳设计问题内引入。还呈现伴随滑动平面功能,以便启用多行时间相关的伴随计算,从而利用转子定子界面。算法分化(AD)用于计算差分Tertwo试验酶,选择涡轮叶片和涡轮机级以证明该方法的可行性。

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