Non-vibration data-driven inverse evaluation analysis of in-service prefabricated slab-on-girder bridge

The in-service prefabricated slab-on-girder bridge, one of the most widely used structural types, is currently being characterized by the large quantities and the typical single beam (slab)-bearing disease. The large number of this kind of bridge is difficult to be effectively dealt with according to the traditional manual methods, such as the full-scale load test presented in the previous studies. The single beam (slab)-bearing disease, to be specific, is mainly corresponding to the heavy vehicle lanes rather than all the precast beams (slabs). The traditional manual methods can also not be employed for the further continuous analysis and timely decision. Thus, this kind of bridge is in urgent of a more practical and targeted maintenance management, and this can be further expected by the SHM-based intelligent solution proposed herein. However, in contrast to the vibration monitoring data, the physical response data are rarely considered in the previous studies. Even though it can be more directly analyzed in comparison with the corresponding design and ultimate value that queried from the current specifications or codes. In this study, the idea of inverse analysis in structural dynamics is innovatively employed. With consideration of the essential characteristics of the SHM data itself, the time-space distribution and correlation analysis methods are then proposed. An in-service prefabricated slab-on-girder bridge is also carried out as a case study, and the deflection response data are also considered. It is indicated that the different precast beams (slabs) are still in the normal service, and the schedule of the travel people is also observed. More importantly, the single beam (slab)-bearing disease corresponding to the heavy vehicle lanes is significant than other vehicle lanes. It is also consistent with and verified by the traditional analysis and engineering experience. Some more practical references can also be provided for the travel people and the maintenance department. The correlation monitoring of different precast beams (slabs) corresponding to the heavy vehicle lanes can then be performed. The more targeted and timely management of this kind of bridge of a whole transport line is then achieved and can be expected.