期刊
ENGINEERING STRUCTURES
卷 156, 期 -, 页码 175-187出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2017.10.045
关键词
Masonry towers; Structural health monitoring; Stochastic subspace identification method; Environmental variability; Experimental models; Principal component analysis
资金
- Region of Tuscany (Project MOSCARDO - ICT technologies for structural monitoring of age-old constructions based on wireless sensor networks and drones)
This paper aims at assessing the influence of environmental parameters on the modal characteristics of age-old masonry constructions. The results of a long-term ambient vibration monitoring of the San Frediano bell tower in Lucca (Italy) are reported. The tower, dating back to the 11th century, has been fitted along its height with four triaxial seismometric stations, which were left active for about one year. Data from the monitoring system have been processed via the Stochastic Subspace Identification Method in order to identify the tower's modal characteristics and their variations over the year. The dependence of the tower's frequencies on the ambient temperature was first studied and simulated via simple auto-regressive models. Then, some output-only models based on the principal component analysis (PCA) were applied, under the hypotheses of both linear and nonlinear (Kernel PCA) dependence of the natural frequencies on the unknown environmental parameters. The results indicate PCA to be an effective tool for detecting changes in the dynamic characteristics of masonry constructions.
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。
推荐
暂无数据