Output-only modal identification of tensegrity structures

M. Attig, M. Abdelghani, N. Kahla
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引用次数: 4

Abstract

Tensegrity systems are a special class of spatial reticulated structures that are composed of struts in compression and cables in tension. In this paper, the performance of stochastic subspace algorithms for modal identification of complex tensegrity systems is investigated. A sub-class algorithm of the Stochastic Subspace Identification family: the Balanced Realization Algorithm is investigated for modal identification of a tripod simplex structure and a Geiger dome. The presented algorithm is combined with a stabilization diagram with combined criteria (frequency, damping and mode shapes). It is shown that although the studied structures present closely spaced modes, the Balanced Realization Algorithm performs well and guarantees separation between closely-spaced natural frequencies. Modal identification results are validated through comparisons of the correlations (empirical vs. model based) showing effectiveness of the proposed methodology.
张拉整体结构的仅输出模态识别
张拉整体系统是一类特殊的空间网状结构,它是由受压杆和受拉索组成的。本文研究了随机子空间算法在复杂张拉整体系统模态识别中的性能。研究了随机子空间识别族的一种子类算法:平衡实现算法,用于三脚架单形结构和盖革圆顶的模态识别。该算法结合了具有组合准则(频率、阻尼和模态振型)的稳定图。结果表明,虽然所研究的结构存在紧密间隔的模态,但平衡实现算法表现良好,并保证了紧密间隔的固有频率之间的分离。模态识别结果通过相关性(经验与基于模型)的比较来验证,显示了所提出方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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