ABSTRACT
With the growing deterioration of bridge structures in traffic networks, there is an urgent need for a reliable method to assess and predict bridge performance using diverse data sources. Building Information Modeling (BIM), currently being implemented in new construction projects, holds promise for providing crucial information to establish a maintenance baseline model by collecting and consolidating data from design to construction phases. However, the maintenance of existing bridges is hindered by a reliance on document-oriented information and the lack of effective integration of individual data within current bridge management systems (BMS) and information systems for inspection and repair records. To overcome these limitations, this paper aims to define key management factors and deliver a baseline digital twin model at the completion stage for maintaining existing girder-bridges. Additionally, inspection and maintenance history data generated during the maintenance stage are incorporated into the digital twin model. The paper presents the definition of BIM data for constructing a baseline digital twin specifically for common types of girder-bridges and demonstrates its functional implementation. A data-driven information delivery is presented for a typical prestressed concrete girder bridge. The effectiveness of the proposed approach is evaluated through actual examples of existing bridges.
