Abstract:
The estimation and monitoring of the in-service load carrying capacity of prestressed
concrete bridge (PCB) structures hold significant importance, especially due to prestress losses
occurring with their aging. Therefore, it becomes crucial to develop an effective methodology
that requires fewer measurements, enabling the estimation of existing prestress force (PF) and
moving force (MF) without relying on detailed knowledge of vehicle characteristics and the
prestress bridge-vehicle interaction system. This study proposes an improved methodology for
identifying PF and MF synergistically. This approach incorporates displacement measurements
and integrates a load shape function (LSF) approach alongside the virtual distortion method. The
identification process is improved by adopting a truncation coefficient for LSF, which eliminates
ineffective elements and enhances reliability. The proposed improvement technique
demonstrates commendable accuracy and facilitates timely maintenance of PCBs. As a result of
adopting this approach, engineers and practitioners can assess and monitor the load carrying
capacity of PCBs. Consequently, these essential transportation infrastructures can be ensured to
be safe and durable for the foreseeable future.
