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Study on the design sensitivity analysis based on complex variable in eigenvalue problem

机译:特征值问题中基于复杂变量的设计灵敏度分析研究

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摘要

In the sensitivity techniques, the adjoint variable method is quite popular because it reduces computation time and save computer resources. Commonly, the adjoint variable method employs exact analytical differentiation with respect to the design variables. But, it can be cumbersome to precisely differentiate every given type of finite element. For improving this trouble, the numerical differentiation scheme can replace this exact manner of differentiation. Even though the numerical differentiation has some advantages, it suffers from severe inaccuracy due to the perturbation size dilemma. This paper employs a complex variable which is not much influenced by the perturbation size. Then, the adjoint variable method combined with complex variables is applied to obtain the shape and size sensitivity for structural optimization. Numerical examples demonstrate that the proposed method can predict stable sensitivity results and that its accuracy is remarkably superior to traditional sensitivity evaluation methods.
机译:在灵敏度技术中,伴随变量方法非常流行,因为它减少了计算时间并节省了计算机资源。通常,伴随变量方法对设计变量采用精确的分析微分。但是,精确区分每种给定类型的有限元可能很麻烦。为了改善这一麻烦,数值微分方案可以代替这种精确的微分方式。尽管数值微分有一些优势,但由于扰动尺寸的困境,它仍然存在严重的误差。本文采用了一个复杂的变量,该变量不受扰动大小的影响很大。然后,将伴随变量方法与复杂变量结合起来,以获得形状和尺寸敏感性,以进行结构优化。数值算例表明,该方法可以预测稳定的灵敏度结果,其准确性明显优于传统的灵敏度评估方法。

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