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Using Design-Parameter Sensitivities in Adjoint-Based Design Environments

机译:在基于伴随的设计环境中使用设计参数敏感性

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Over the past several years, considerable progress has been made in aerodynamic design through the use of adjoint-based solution technologies. These design systems allow one to change the surfaces of a configuration so that some objective function, such as lift-to-drag ratio or sonic boom strength, is optimized. Unfortunately, these systems change the configuration surfaces on a point-by-point basis, instead of by changing the design parameters that were used to generate the original configuration; this limitation arose from the lack of good sensitivity calculations through the geometric design process. The objective of this paper is to demonstrate the coupling of recently developed configuration sensitivity calculations with the adjoint-based optimization frameworks. In particular, a wing is optimized to minimize the induced drag (for a fixed lift) through both the CART3D and FUN3D design frameworks. Several methods for propagating sensitivity information into the interior of Paces were investigated. The optimized results, both for sensitivities computed by finite differences (which are nearly identical to the predicted displacement field but expensive to compute) and for sensitivities computed analytically (which disagree with the predicted displacements but are inexpensive to compute), are nearly identical.
机译:在过去的几年中,通过使用基于伴随的解决方案技术,在空气动力学设计方面取得了可观的进步。这些设计系统允许人们更改配置的表面,以便优化某些目标功能,例如升阻比或音爆强度。不幸的是,这些系统逐点更改配置表面,而不是更改用于生成原始配置的设计参数。这种限制是由于在几何设计过程中缺乏良好的灵敏度计算而引起的。本文的目的是演示最近开发的配置敏感性计算与基于伴随的优化框架的耦合。尤其是,机翼经过了优化,可通过CART3D和FUN3D设计框架最大限度地减少(对于固定升力)引起的阻力。研究了几种将敏感度信息传播到Paces内部的方法。对于通过有限差分计算的灵敏度(与预测的位移场几乎相同,但计算成本很高)和通过解析计算的灵敏度(与预测的位移不一致,但计算成本不高)而言,优化结果几乎相同。

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