面向CAE的简化模型误差评估与信息重用

摘要

提出了一种面向CAE的简化模型误差评估与信息重用方法。首先对简化模型的分析结果进行评估,根据被抑制特征对分析结果的影响生成最终简化模型。然后重用简化模型的分析信息,利用稀疏矩阵局部分解技术,完成对最终简化模型总刚度矩阵的分解。该方法可以评估简化模型的分析精度,生成满足分析精度的最终简化模型,实现对最终简化模型的快速分析。实例表明,简化模型的误差评估与信息重用方法提高了最终简化模型的分析精度和分析效率,可用于线性弹性结构的静力分析。%A method of error evaluation and information reuse in the analysis of simplified models was proposed.After evaluating the impacts of suppressed features on initial simplified models,the impacts were utilized to guide model simplification,and the analysis information was reused through partial matrix refactorization to accelerate the analysis process of the final simplified models.It is a computationally non-intensive method and can be used to improve the analysis accuracy and efficiency for the final simplified models.It can be applied to the linear static analysis of elastic structures.