ABSTRACT
The extradosed bridge was popularly constructed all over the world during past few decades. To maintain the good performance during its lifecycle, the development of a long-term monitoring system for the bridges has become an important issue. The purpose of this paper is to introduce a newly developed monitoring system for three newly constructed extradosed bridges in Taiwan. To make a good understanding of the characteristic of the structure at the initial stage, both static and dynamic loading tests were conducted before these bridges were open to traffic. In addition, a sophisticate finite element model was also established for each bridge to be integrated into the structural health assessment system. Through comparisons between the experimental responses captured by the sensors implemented on the bridges and the numerical analysis results, the appropriateness of structural model was validated. As a result, the structural health assessment system was able to be developed based on artificial-intelligence technology and give the alarming timely to the bridge managers in case of abnormal signal found.
