Typical long term monitoring schemes are composed by sensory, data acquisition, communication, data processing and archiving and damage detection and modelling systems 1. The main idea is to perform structural assessment helping owners in achieving a better structure maintenance by being able to identify any possible damage in short time. A methodology, based on Interval Analysis theory IA 2-4 applied to a numerical Constraint Satisfaction Problem CSP 5, was selected and will be implemented in the damage detection and modelling system of a long term monitoring project in order to reach such objective. The uncertainty, always present in numerical model and in obtained data, is easily treated by means of IA. The structural numerical system can be seen as a CSP for which its inconsistence has to be proved. With that, any redistribution of stress in the structure due to deterioration processes can be detected. An algorithm is being developed to use such methodology with the obtained long term monitoring data. The algorithm has been tested in laboratory with simple reinforced concrete structures. Within a scope of a research project developed in Portugal SMARTE Project a pre-stressed concrete bridge is continuously and remotely monitored 6-10. Such bridge will be a real prototype structure where the methodology will be implemented for the first time.
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