Abstract:

Tracking the behavior over time of land and constructions has always been a distinct branch of management in engineering surveying, a challenging topic for all specialists. As it is known, Structural Health Monitoring (SHM), is a complex and relatively expensive activity.The current offer of tools, methods and technologies in this domain is varied; it can lead to a virtually large number of types of structural monitoring systems which can be customized for each case. A strict organization of the structural monitoring activity is absolutly necessary, for better integrating the SHM in the management strategy of companies. The paper aims to develop in the phase of preparedness of Structural Monitoring process, a proper selection of relevant data from this activity and to improve the mathematical model through correlation analysis of the different types of variables, which are monitored on structural elements.The applied research is based on a case study, of structural monitoring in continuous quasi static conditions of the Incheon Grand Bridge, South Korea, by monitoring the 24 ^th.  lamella from South Line of the bridge. Correlation analysis optimization was made between variables  which reveals the effect of the uneven sunshine on a reinforced concrete structural element. The study was carried out by comparing data pairs that reflect the report between atmospheric temperature (the cause), and the movement of a sensor mounted on the structural element (the effect). The analysis was performed using dedicated software to achieve a more accurate mathematical model, which has been tested and then validated.