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ANALYTICAL DERIVATIVES TECHNOLOGY FOR PARAMETRIC SHAPE DESIGN AND ANALYSIS IN STRUCTURAL APPLICATIONS

机译:结构应用中参数形状设计和分析的解析导数技术

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The ability to perform and evaluate the effect of shape changes on the stress, modal and thermal response of components is an important ingredient in the 'design' of aircraft engine components. The classical design of experiments (DOE) based approach that is motivated from statistics (for physical experiments) is one of the possible approaches for the evaluation of the component response with respect to design parameters. Since the underlying physical model used for the component response is deterministic and understood through a computer simulation model, one needs to re-think the use of the classical DOE techniques for this class of problems. In this paper, we explore an alternate sensitivity analysis based technique where a deterministic parametric response is constructed using exact derivatives of the complex finite-element (FE) based computer models to design parameters. The method is based on a discrete sensitivity analysis formulation using semi-automatic differentiation to compute the Taylor series or its Pade equivalent for finite element based responses. Shape design or optimization in the context of finite element modeling is challenging because the evaluation of the response for different shape requires the need for a meshing consistent with the new geometry. This paper examines the differences in the nature and performance (accuracy and efficiency) of the analytical derivatives approach against other existing approaches with validation on several benchmark structural applications. The use of analytical derivatives for parametric analysis is demonstrated to have accuracy benefits on certain classes of shape applications.
机译:执行和评估形状变化对部件的应力,模态和热响应的影响的能力是飞机发动机部件“设计”的重要组成部分。基于统计数据(针对物理实验)的基于经典实验设计(DOE)的方法是评估相对于设计参数的组件响应的可能方法之一。由于用于组件响应的基础物理模型是确定性的,并且可以通过计算机仿真模型来理解,因此需要针对此类问题重新考虑使用经典的DOE技术。在本文中,我们探索了一种基于灵敏度分析的替代技术,其中使用基于复杂有限元(FE)的计算机模型的精确导数来构造确定性参数响应来设计参数。该方法基于离散灵敏度分析公式,该公式使用半自动微分来计算基于有限元响应的泰勒级数或其Pade等效项。在有限元建模中进行形状设计或优化具有挑战性,因为对不同形状的响应进行评估需要与新几何形状保持一致的网格。本文考察了分析衍生方法与其他现有方法在本质和性能(准确性和效率)上的差异,并在几个基准结构应用程序上进行了验证。在参数分析的某些类别中,证明将分析导数用于参数分析具有准确性。

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