4.5 Article

LabVIEW toolkits for output-only modal identification and long-term dynamic structural monitoring

期刊

STRUCTURE AND INFRASTRUCTURE ENGINEERING
卷 6, 期 5, 页码 557-574

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/15732470903068672

关键词

modal identification; peak-picking; enhanced frequency-domain decomposition; stochastic subspace identification; continuous monitoring

资金

  1. Portuguese Foundation for Science and Technology (FCT)
  2. FEUP [POCTI/ECM/46475/2002, POCI/ECM/57286/2004]

向作者/读者索取更多资源

This paper describes the development of computational tools for modal identification and long term dynamic monitoring in LabVIEW environment. These tools mainly consist of two individual toolkits for structural modal identification (SMI) and continuous monitoring (CSMI), respectively. The SMI toolkit implements the frequency domain Peak-Picking (PP) and Enhanced Frequency Domain Decomposition (EFDD) method, as well as the time domain Stochastic Subspace Identification (SSI) techniques. Based on this toolkit, the user can easily develop the whole process of structural modal identification by simply pushing buttons. The CSMI toolkit was conceived for continuous dynamic monitoring excluding manual interaction. It automatically searches the latest output measurements, detects maximum vibration amplitudes and makes statistical treatment of acceleration time series, generates waterfall plots for depicting the frequency component distribution and identifies modal parameters based on automated EFDD technique. The application of these tools is briefly described based on experimental data collected at Pinhao bridge and Coimbra footbridge.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据