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Smart Structures and Systems Volume 17, Number 3, March 2016 , pages 523-539 DOI: https://doi.org/10.12989/sss.2016.17.3.523 |
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Optimal reduction from an initial sensor deployment along the deck of a cable-stayed bridge |
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F. Casciati, S. Casciati, L. Elia and L. Faravelli
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| 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. | ||
| Key Words | ||
| ambient vibration; cable-stayed bridge; modal frequencies; mode shapes; parameter identification; sensor deployment | ||
| Address | ||
| F. Casciati, L. Elia and L. Faravelli:Department of Civil Engineering and Architecture, DICAr, University of Pavia, via Ferrata 3, I-27100 Pavia, Italy S. Casciati: Department of Civil Engineering and Architecture, DICAR, University of Catania at Siracusa, Piazza Federico di Svevia 1, I-96100 Siracusa, Italy | ||