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Energy-Based Optimal Ranking of the Interior Modes for Reduced-Order Models under Periodic Excitation

机译:周期性激励下基于降阶模型内部模式的基于能量的最优排序

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This paper introduces a novel method for ranking and selecting the interior modes to be retained in the Craig-Bampton model reduction, in the case of linear vibrating systems under periodic excitation. The aim of the method is to provide an effective ranking of such modes and hence an optimal sequence according to which the interior modes should be progressively included to achieve a desired accuracy of the reduced-order model at the frequencies of interest, while keeping model dimensions to a minimum. An energy-based ranking (EBR) method is proposed, which exploits analytical coefficients to evaluate the contribution of each interior mode to the forced response of the full-order system. The application of the method to two representative systems is discussed: an ultrasonic horn and a vibratory feeder. The results show that the EBR method provides a very effective ranking of the most important interior modes and that it outperforms other state-of-the-art benchmark techniques.
机译:本文介绍了一种在周期性振动下线性振动系统中对Craig-Bampton模型简化中要保留的内部模式进行排序和选择的新颖方法。该方法的目的是提供此类模式的有效排名,并因此提供最佳顺序,根据该最佳顺序应逐步包含内部模式,以在感兴趣的频率下实现降阶模型的所需精度,同时保持模型尺寸最小。提出了一种基于能量的排序(EBR)方法,该方法利用分析系数来评估每个内部模式对全阶系统的强制响应的贡献。讨论了该方法在两个代表性系统上的应用:超声变幅杆和振动进料器。结果表明,EBR方法可对最重要的室内模式提供非常有效的排名,并且优于其他最新的基准测试技术。

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