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STRUCTURAL MODIFICATION PREDICTION USING INCOMPLETE MODAL DATA

机译:使用不完整模态数据的结构修改预测

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In many situations where structural dynamics do not satisfy the requirement set by structural analyst, a structure has to be modified and its dynamic characteristics should be re-analyzed. In this paper, an effective method is developed to predict the changes of modal parameters due to the known structural modifications using complete or incomplete modal data of the unmodified structure. Two different iterative computational procedures have been devised for cases of moderate and large magnitudes of modification respectively. It is flexible in the sense that it can be used to calculate the changes of any individual natural frequency and mode shape of interest without the others being involved. To verify its practicability, the method has been applied to a 10DOF mass-spring system as well as a complicated truss structure. Numerical results show that the computational accuracy of the proposed algorithm is comparable to that of conventional eigensolution method(s) while its computational cost involved is much lower. Furthermore, it has also been found that the number of original modes available has little effect upon prediction accuracy as far as lower modes of the modified structure are concerned. Also, advantages, limitations and range of practical application of the proposed method have been discussed.
机译:在结构动态不满足结构分析师设定的要求的许多情况下,必须修改结构,并且应重新分析其动态特性。在本文中,开发了一种有效的方法,以预测由于未修改结构的完整或不完整的模态数据的已知结构修改导致模态参数的变化。已经设计了两种不同的迭代计算程序,分别为中等和大幅度的修饰案例设计。这是灵活的,它可以用于计算任何单独的自然频率和兴趣模式形状的变化,而没有其他人正在涉及。为了验证其实用性,该方法已应用于10dof Qual-Spring系统以及复杂的桁架结构。数值结果表明,该算法的计算精度与传统的Eigensolution方法相当,而其计算成本涉及的计算成本远低得多。此外,还发现,只要修改结构的较低模式,就可用的原始模式的数量几乎没有影响预测准确性。此外,已经讨论了所提出的方法的优点,限制和实际应用范围。

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