基于随机减量法的分布式结构模态参数识别

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (17) : 48-54.

论文

基于随机减量法的分布式结构模态参数识别

逯静洲1 Sung Han Sim 2 Billie F.Spencer, Jr.3

作者信息 +

Distribution Modal Identification based on Radom Decrement Technique

LU Jingzhou1, Sung Han Sim2, Billie F. Spencer, Jr.3

Author information +

文章历史 +

摘要

分区进行平行分析处理的技术已成为大型结构密集布置无线智能传感器网络检测结构系统的重要任务。本文提出基于随机减量法的分布式数据采集和模态识别方法。以两边简支板模型试验为例，采用ISM400无线智能传感器，通过自然激励法获得测试结构的响应信号，计算随机减量函数，然后运用特征系统实现算法提取系统的状态空间参数，并结合稳定图的方法剔除虚假模态，识别出结构的模态性能参数。以模态置信度为判据对比分析分布式算法与集中式算法的识别效果，结果表明两种算法吻合良好。

Abstract

Technology for decentralized processing and parallel analysis is essential to realize a dense array of wireless smart sensors networks on large-scale civil structures. This paper presents a decentralized data aggregation approach for system identification based on the random decrement technique (RDT). The performance of RDT–based decentralized data aggregation is experimentally investigated using a two side simply supported plate model. Using ISM400 wireless smart sensors, the random decrement function are obtained from the measured acceleration time histories of the plate by adopting natural excitation technique (NExT). A time domain algorithms integrating NExT and eigensystem realization algorithm (ERA), combined with the method of stability diagram (SD) to eliminate the false mode, was applied to identify modal parameters of the plate. The identification result was compared with that based on the centralized method. The global mode shapes are close to those from centralized method according to modal assurance criterion (MAC).

导出引用

逯静洲1 Sung Han Sim 2 Billie F.Spencer, Jr.3 . 基于随机减量法的分布式结构模态参数识别[J]. 振动与冲击, 2017, 36(17): 48-54

LU Jingzhou1, Sung Han Sim2, Billie F. Spencer, Jr.3. Distribution Modal Identification based on Radom Decrement Technique[J]. Journal of Vibration and Shock, 2017, 36(17): 48-54

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