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A COMPARISON OF TEST-ANALYSIS MODEL REDUCTION METHODS

机译:试验分析模型减少方法的比较

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Several methods exist for reducing the mass and stiffness matrices of a finite element model to a test-analysis model whose degrees of freedom correspond to modal survey accelerometer locations. Four of these methods-static (Guyan) reduction, Improved Reduced System (IRS) method, Modal reduction, and Hybrid reduction-are compared for accuracy and robustness. Comparisons are made using two case studies: a simple finite element model of a generic spacecraft with simulated test data and a pretest finite element model of a large aerospace structure and corresponding modal survey results. The case studies suggest that the quality of the reduction process is problem dependent with none of the methods clearly superior to the others. However, the case studies show that the IRS method is an improvement over the Static reduction, and the Hybrid reduction is an improvement over the Modal reduction. This paper also reviews the theory behind each of the reduction methods.
机译:存在几种方法,用于将有限元模型的质量和刚度矩阵降低到测试分析模型,其自由度对应于模态调查加速度计位置。这些方法中的四种 - 静态(Guyan)减少,改进了减少的系统(IRS)方法,模拟减少和混合还原 - 以准确性和鲁棒性进行比较。使用两种案例研究进行比较:具有模拟试验数据的通用航天器的简单有限元模型和大型航空航天结构的预测试有限元模型和相应的模态调查结果。案例研究表明,减少过程的质量取决于任何方法都与其他方法显然。然而,案例研究表明,IRS方法是对静静电减少的改善,并且杂交减少是对模态减少的改善。本文还审查了每种减少方法背后的理论。

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