Abstract
In this study, a structural health monitoring system for cable-stayed bridges is developed. In the system, condition assessment of the structure is performed based on measured records from seismic accelerometers. Response indices are defined to monitor structural safety and serviceability and derived from the measured acceleration data. The derivation process of the indices is structured to follow the transformation from the raw data to the final outcome. The process includes, noise filtering, baseline correction, numerical integration, and calculation of relative differences. The system is packed as a condition assessment program, which consists of four major process of the structural health evaluation: (i) format conversion of the raw data, (ii) noise filtering, (iii) generation of response indices, and (iv) condition evaluation. An example set of limit states is presented to evaluate the structural condition of the test-bed cable-stayed bridge.
Highlights
For the public safety management, the use of a structural health evaluation system based on seismic accelerometers is in increasing demand
Structural health monitoring technologies based on imaging and vision sensors [10,11], and microelectromechanical systems (MEMS) sensors [12,13] can be considered as emerging technologies [14]
Application of wireless sensor network [15,16] for the condition assessment has evolved to internet of things (IOT) [17,18]
Summary
For the public safety management, the use of a structural health evaluation system based on seismic accelerometers is in increasing demand. Due to the recent development of sensor and measurement technologies, the number of monitoring systems installed on important structures such as cable bridges is rapidly increasing [1,2,3]. While the state-of-the-art research and novel sensors lead the progress of technologies in structural health monitoring of bridges, it should be noted that detailed information on the analysis and interpretation of data is essential for engineers to construct the monitoring system. The majority of the monitoring software in the field are developed by the equipment providers and have not been verified their reliability in structural condition assessment. It is of importance to develop reliable health monitoring software that can generate appropriate response indices of the structure [20,21,22]. The data matrix represents the interrelationship between the measured data from the seismic accelerometers and the response indices
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