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http://dx.doi.org/10.12989/sss.2016.17.3.523

Optimal reduction from an initial sensor deployment along the deck of a cable-stayed bridge  

Casciati, F. (Department of Civil Engineering and Architecture, DICAr, University of Pavia)
Casciati, S. (Department of Civil Engineering and Architecture, DICAR, University of Catania at Siracusa)
Elia, L. (Department of Civil Engineering and Architecture, DICAr, University of Pavia)
Faravelli, L. (Department of Civil Engineering and Architecture, DICAr, University of Pavia)
Publication Information
Smart Structures and Systems / v.17, no.3, 2016 , pp. 523-539 More about this Journal
Abstract
The ambient vibration measurement is an output-data-only dynamic testing where natural excitations are represented, for instance, by winds and typhoons. The modal identification involving output-only measurements requires the use of specific modal identification techniques. This paper presents the application of a reliable method (the Stochastic Subspace Identification - SSI) implemented in a general purpose software. As a criterion toward the robustness of identified modes, a bio-inspired optimization algorithm, with a highly nonlinear objective function, is introduced in order to find the optimal deployment of a reduced number of sensors across a large civil engineering structure for the validation of its modal identification. The Ting Kau Bridge (TKB), one of the longest cable-stayed bridges situated in Hong Kong, is chosen as a case study. The results show that the proposed method catches eigenvalues and eigenvectors even for a reduced number of sensors, without any significant loss of accuracy.
Keywords
ambient vibration; cable-stayed bridge; modal frequencies; mode shapes; parameter identification; sensor deployment;
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Times Cited By KSCI : 4  (Citation Analysis)
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