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Keywords = automated modal analysis (AMA)

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23 pages, 15821 KB  
Article
Automated Modal Analysis for Tracking Structural Change during Construction and Operation Phases
by Jun Teng, De-Hui Tang, Xiao Zhang, Wei-Hua Hu, Samir Said and Rolf. G. Rohrmann
Sensors 2019, 19(4), 927; https://doi.org/10.3390/s19040927 - 22 Feb 2019
Cited by 39 | Viewed by 4696
Abstract
The automated modal analysis (AMA) technique has attracted significant interest over the last few years, because it can track variations in modal parameters and has the potential to detect structural changes. In this paper, an improved density-based spatial clustering of applications with noise [...] Read more.
The automated modal analysis (AMA) technique has attracted significant interest over the last few years, because it can track variations in modal parameters and has the potential to detect structural changes. In this paper, an improved density-based spatial clustering of applications with noise (DBSCAN) is introduced to clean the abnormal poles in a stabilization diagram. Moreover, the optimal system model order is also discussed to obtain more stable poles. A numerical simulation and a full-scale experiment of an arch bridge are carried out to validate the effectiveness of the proposed algorithm. Subsequently, the continuous dynamic monitoring system of the bridge and the proposed algorithm are implemented to track the structural changes during the construction phase. Finally, the artificial neural network (ANN) is used to remove the temperature effect on modal frequencies so that a health index can be constructed under operational conditions. Full article
(This article belongs to the Special Issue Smart Sensors and Smart Structures)
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