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ACCURACY OF GRADIENT COMPUTATIONS FOR AERODYNAMIC SHAPE OPTIMIZATION PROBLEMS

机译:气动形状优化问题的梯度计算精度

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Applying nonlinear optimization techniques suchrnas quasi-Newton methods to aerodynamic shapernoptimization problems requires the calculationrnof gradients of a given objective function. Anrneffective way of calculating such gradients isrnthrough the use of the so-called adjoint equations.rnTo achieve fast convergence in the optimizationrnalgorithm, accurately computed gradientsrnare needed. In the computation of such gradientsrnthe discretization of the problem and thernchoice of boundary conditions are two importantrnaspects. These issues are studied in the contextrnof shape optimization of a quasi-1D nozzle usingrnphysically relevant boundary conditions. Isentropyrnis enforced at the inlet boundary, and thernstatic pressure is specified at the outlet boundaryrnfor subsonic flows. A cell-centered finitevolumerndiscretization with a standard implementationrnof the boundary conditions is applied, andrnthe corresponding numerical scheme and numericalrnboundary conditions for the adjoint equationsrnare derived in a fully discrete sense.rnNumerical experiments at subsonic and transonicrnspeeds, show that the gradient evaluationsrnare accurate enough to obtain satisfactory convergencernof the quasi-Newton algorithm.
机译:将诸如拟似牛顿法的非线性优化技术应用于空气动力学形状优化问题需要给定目标函数的计算梯度。计算此类梯度的一种有效方法是使用所谓的伴随方程。为了在优化算法中实现快速收敛,需要精确计算的梯度。在这种梯度的计算中,问题的离散化和边界条件的选择是两个重要方面。使用物理相关的边界条件,在准一维喷嘴的上下文形状优化中研究了这些问题。等渗涡流在入口边界处被强制执行,并且在亚边界条件下为亚音速流指定了静压力。在边界条件下采用标准实现的以单元为中心的有限体积离散化,并在完全离散的意义上导出了伴随方程组的相应数值方案和数值边界条件。拟牛顿算法的收敛性。

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