PSI - Issue 84

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

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parameters in a controlled manner and generate visual indications on critical elements. The proposed methodological approach is designed to be scalable and replicable in different application contexts. The framework can be implemented using heterogeneous digital data, provided that they are consistent with the information requirements of the inspection process and with the need for model updating. Furthermore, the modular structure of the visual scripts makes the workflow adaptable to different infrastructure types and application contexts, with the implementation of specific modifications. To validate the proposed workflow, a masonry arch bridge located in southern Italy was selected as a case study (see Fig. 2). This type of structure was chosen because, despite being designed and built according to different construction and design criteria, often in the absence of specific technical regulations, these infrastructures still constitute a significant part of the road system, especially in Italy's inner areas, playing a strategic role in territorial connections. Furthermore, the evolution of the transport system since these structures were built has led to the application of loads and stresses that differ significantly from the original designs. This feature, combined with the construction and material characteristics of masonry structures, makes them more vulnerable and requires systematic inspection, monitoring, and maintenance activities aimed at conservation and safety. The test bridge is located on a secondary suburban road that crosses a watercourse. From a typological standpoint, the structure belongs to the category of massive arch bridges. The bridge has three spans, with a total length of 66.00 meters and a deck width of 6.10 meters. It features three masonry arches, while the abutments and piers have a variable vertical section and are made of square stone blocks. Recent investigations and checks have been carried out to assess the risk associated with the structure. These evaluations provided information on its geometric and construction characteristics and identified critical issues that need to be addressed.

Fig. 2. General views of test masonry arch bridge.

3. Results 3.1. Digitization of the Guidelines forms

The first phase of the workflow involved digitizing the forms specified in the Guidelines and storing them in a NocoDB relational database. Due to the heterogeneity of the information in the forms, a preliminary standardization process was carried out to streamline the fields and values, ensuring semantic consistency and interoperability with the parametric environment. The main information and fields to be standardized were identified through a combined analysis of the census, inspection, and defect forms. This analysis aimed to define formats compatible with the information model and reflecting the logical relationships between the various forms. To correctly identify bridge elements in the inspection forms, an element details form was created to provide a schematic representation of the structure. This operation facilitates the unique identification of individual structural elements and their location within the overall structure, ensuring consistency and replicability of inspection activities. To facilitate correlation between the different tables, two distinct identification codes have been defined: the Asset Manager Structure ID, which relates to the structure as a whole; the Asset Manager Component ID (local), which pertains to individual elements. The first identification code is structured according to three levels of information, combining the structure number, the cadastral code, and structural configuration information. The Asset Manager Component ID (local) identification code is based on the bridge's hierarchical structure, integrating information on the component type, orientation, side, and the element's progressive number. These unique codes ensure consistent classification within the database and information