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面向CAE的模型简化中的误差评估与边界补偿

Defeaturing-Induced Impacts Estimation and Boundary Condition Compensation for CAE Oriented Model Simplification

  • 摘要: 通过分析由于模型简化导致分析结果产生误差的原因,提出一种简化模型的误差评估与边界补偿方法.首先基于功的互等原理估算所抑制的特征对分析结果的影响;然后根据这种影响指导模型在满足一定分析精度下的简化,并有效地利用被抑制特征的计算信息对简化模型的边界条件进行补偿.实例结果表明,文中方法计算量较小,不但可用于指导基于分析精度的分析模型简化,而且通过边界补偿可以进一步改善简化模型的分析精度.该方法可用于线性弹性结构的有限元静力分析.

     

    Abstract: In this paper, we propose a method of estimating defeaturing-induced finite element analysis(FEA) impacts and compensating boundary conditions for simplified models. By analyzing the key factors resulting in FEA impacts of simplified models, we estimate the impacts induced by defeaturing based on the reciprocal theorem and apply the impacts to guide models simplification. Furthermore, we use the information obtained from the suppressed features to compensate boundary conditions for the simplified models. It is a computationally effective method to improve the analysis accuracy of the simplified models. It can be applied to the linear static analysis of elastic structures.

     

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