Abstract

Building Information Modeling (BIM) enables the creation of digital twins that simulate physical assets like buildings and infrastructure. Achieving an accurate representation of the true structural behavior necessitates calibrating the properties of these virtual models using real on-site measurements. The calibration process holds particular significance for the federated structural model, as on-site damages can potentially compromise crucial mechanical attributes, jeopardizing the asset’s safety and integrity. Although Structural System Identification (SSI) methods can derive actual parameters from on-site measurements, integrating these calibrated properties into BIM models poses challenges. Typically, the calibration process involves manual operations, such as modifying predefined structural databases and updating properties for damaged elements. This manual approach introduces complexities and potential inaccuracies. This paper proposes a novel approach using Robot Process Automation (RPA) to automate the calibration of BIM structural models. The proposed RPA tool automates the generation of new sections in the structural database and the assignment of updated mechanical properties to damaged elements. By leveraging RPA, the integration of SSI results into BIM models can be significantly enhanced, improving interoperability between architectural and structural federated models. Furthermore, this automation supports informed decision-making in structural assessment and maintenance. To validate the proposed tool, a case study is presented involving the calibration of mechanical properties in a real steel bridge. Autodesk software, including Revit and Robot Structural Analysis, is utilized in this case study. The findings demonstrate the effectiveness and potential benefits of the proposed RPA tool in streamlining the calibration process and ensuring the accuracy of BIM structural models.