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Adjoint Algorithms for the Optimization of 3d Turbulent Configurations

机译:用于优化3D湍流配置的伴随算法

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The solution of the discrete adjoint equations for an unstructured finite volume compressible Navier-Stokes solver is discussed. In previous work fixedpoint iterations taken from the non-linear method - suitably adjointed - were applied to the adjoint problem. Here it is seen that there are often situations in which these iterations can not be expected to converge. To address this the Recursive Projection Method is developed as a stabilizer, and then used to perform an eigenmode analysis of attached and separated flow on a single geometry, allowing identification of flow regions that were unstable under the basic iteration. Finally an adjoint based optimization with 96 design variables is performed on a wing-body configuration. The initial flow has large regions of separation, which are significantly diminished in the optimized configuration.
机译:讨论了非结构化有限体积可压缩Navier-Stokes求解器的离散伴随方程的解决方案。在以前的工作中,从非线性方法采取的固定点迭代 - 适当友好 - 应用于伴随问题。在这里,可以看出,通常情况下,这些迭代不能预期会聚。为了解决这个问题,递归投影方法被开发为稳定器,然后用于在单个几何形状上执行附接和分离流的特征模分析,允许识别在基本迭代下不稳定的流量区域。最后,在机身配置上执行与96个设计变量的伴随基于兼容的优化。初始流量具有大的分离区域,在优化配置中显着减少。

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