Understanding the dynamic behavior of complex structures such as long-span bridges requires dense deployment of
sensors. Traditional wired sensor systems are generally expensive and time-consuming to install due to cabling. With
wireless communication and on-board computation capabilities, wireless smart sensor networks have the advantages of
being low cost, easy to deploy and maintain and therefore facilitate dense instrumentation for structural health
monitoring. A long-term monitoring project was recently carried out for a cable-stayed bridge in South Korea with a
dense array of 113 smart sensors, which feature the world’s largest wireless smart sensor network for civil structural
monitoring. This paper presents a comprehensive statistical analysis of the modal properties including natural
frequencies, damping ratios and mode shapes of the monitored cable-stayed bridge. Data analyzed in this paper is
composed of structural vibration signals monitored during a 12-month period under ambient excitations. The correlation
between environmental temperature and the modal frequencies is also investigated. The results showed the long-term
statistical structural behavior of the bridge, which serves as the basis for Bayesian statistical updating for the numerical
Parisa Asadollahi and Jian Li, "Statistical analysis of modal properties of a cable-stayed bridge through long-term structural health monitoring with wireless smart sensor networks," Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98030G (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 21, 2016; Published: 20 April 2016); https://doi.org/10.1117/12.2219517.
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