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Discrete Adjoint-Based Simultaneous Analysis and Design Approach for Conceptual Aerodynamic Optimization

机译:基于离散伴随的概念空气动力学同时分析与设计方法

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In this paper, a simultaneous analysis and design method is derived and applied for a non-linear constrained aerodynamic optimization problem. The method is based on the approach of defining a Lagrange functional based on the objective function and the aerodynamic model’s equations, using two sets of multipliers. A fully-coupled, non-linear system of equations is derived by requiring that the Gateaux variation of the Lagrange functional vanishes for arbitrary variations of the aerodynamic model’s dependent variables and design parameters. The optimization problem is approached using a one-shot technique, by solving the non-linear system in which all sensitivities and problem constraints are included. The computational efficiency of the method is compared against a gradient-based optimization algorithm using adjoint-provided gradient. A conceptual-stage aerodynamic optimization problem is solved, based on a non-linear numerical lifting-line method with viscous corrections.
机译:本文提出了一种同时分析和设计方法,并将其应用于非线性约束空气动力学优化问题。该方法基于使用两组乘子基于目标函数和空气动力学模型方程式定义拉格朗日函数的方法。要求空气动力学模型的因变量和设计参数的任意变化,则需要拉格朗日函数的Gateaux变化消失,从而得出完全耦合的非线性方程组。通过解决包含所有敏感性和问题约束的非线性系统,使用单次技术来解决优化问题。该方法的计算效率与使用伴随提供的梯度的基于梯度的优化算法进行了比较。基于具有粘性修正的非线性数值提升线方法,解决了概念阶段的空气动力学优化问题。

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