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Continuous Adjoint Methods for Turbulent Flows, Applied to Shape and Topology Optimization: Industrial Applications

机译:用于湍流的连续伴随方法,用于形状和拓扑优化:工业应用

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This article focuses on the formulation, validation and application of the continuous adjoint method for turbulent flows in aero/hydrodynamic optimization. Though discrete adjoint has been extensively used in the past to compute objective function gradients with respect to (w.r.t.) the design variables under turbulent flow conditions, the development of the continuous adjoint variant for these flows is not widespread in the literature, hindering, to an extend, the computation of exact sensitivity derivatives. The article initially presents a general formulation of the continuous adjoint method for incompressible flows, under the commonly used assumption of "frozen turbulence". Then, the necessary addenda are presented in order to deal with the differentiation of both low- and high-Reynolds (with wall functions) number turbulence models; the latter requires the introduction of the so-called "adjoint wall functions". An approach to dealing with distance variations is also presented. The developed methods are initially validated in cases and then applied to industrial shape and topology optimization problems, originating from the automotive and hydraulic turbomachinery industries.
机译:本文重点研究在空气/流体动力学优化中湍流连续伴随方法的制定,验证和应用。尽管过去离散离散伴随已被广泛用于计算湍流条件下设计变量的目标函数梯度,但在文献中并没有针对这些流动开发连续伴随变体,这妨碍了扩展,精确灵敏度导数的计算。本文首先介绍了在通常使用的“冻结湍流”假设下,不可压缩流的连续伴随方法的一般公式。然后,提出必要的附录,以处理低雷诺数和高雷诺数(具有壁函数)数湍流模型。后者需要引入所谓的“伴随墙功能”。还提出了一种处理距离变化的方法。最初对开发的方法进行了案例验证,然后将其应用于源自汽车和水力涡轮机械行业的工业形状和拓扑优化问题。

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