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Effect of Approximations of the Discrete Adjoint on Gradient-Based Optimization

机译:离散伴随的逼近对基于梯度的优化的影响

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摘要

An exact discrete adjoint of an unstructured finite-volume solver for the Reynolds-averaged Navier-Stokes equations has been developed. The adjoint is exact in the sense of being based on the full linearization of all terms in the solver, including all turbulence model contributions. From this starting point various approximations to the adjoint are derived with the intention of simplifying the development and memory requirements of the method; considered are many approximations already seen in the literature. The effect of these approximations on the accuracy of the resulting design gradients, and the convergence and final solution of optimizations is studied, as it applies to a two-dimensional high-lift configuration.
机译:对于雷诺平均的Navier-Stokes方程,已经开发出非结构化有限体积求解器的精确离散伴随。在基于求解器中所有项的完整线性化(包括所有湍流模型贡献)的意义上,伴随是精确的。从这个起点出发,可以得出各种伴随的近似值,以简化该方法的开发和存储需求。被认为是文献中已经看到的许多近似值。研究了这些近似对最终设计梯度精度的影响,以及优化的收敛性和最终解决方案,因为它适用于二维高升力配置。

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