PSI - Issue 84

Adriana Marra et al. / Procedia Structural Integrity 84 (2026) 661–668

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classes of parameters that affect the risk factors according to defined logical flows. The values obtained for hazard, vulnerability, and exposure levels are then aggregated according to the Guidelines, yielding the asset's structural and foundational CA. Finally, the script generates information parameters to associate with the entire model, making the CA an essential component of the BrIM information system (see Fig. 6).

Fig. 5. Automatic process for creating and updating parameters through Dynamo Player and visualizing defect level using color coding.

Fig. 6. Automatic assessment, creation, and updating of the structural and foundation attention class and bridge risk parameters by Dynamo.

4. Concluding remarks The paper presents an operational workflow that integrates relational databases, BrIM modeling, and semi automated information updating flows in line with current regulatory standards for managing and monitoring bridges and viaducts. The structured digitization of census, defect, and inspection forms, their standardization, and the definition of consistent relationships within the NocoDB platform enabled the creation of an information environment interoperable with the BrIM model. At the same time, the validation and optimization of the information model ensured the correct mapping of elements according to the IFC standard and the alignment of the model with the relational database. Finally, Dynamo graphs automated the data transfer process, updating of information parameters, and the assessment of the element defect levels and structural and foundation AC, reducing errors associated with manual operations and significantly improving processing efficiency.