AI/H-BIM workflow to digitize and analyze structural damage

This paper presents an ongoing experimental study aimed at integrating H-BIM and Artificial Intelligence for the digitalisation and structural damage assessment of masonry churches, in support of conservation and heritage management activities. The proposed approach involves the semantic modelling of the building through its decomposition into Macro-Elements, in accordance with traditional methodologies for seismic damage evaluation. The case study under investigation is the Church of the Compagnia della Disciplina della Santa Croce, located in the historic heart of the Forcella district in Naples. The H-BIM model, developed from reality-based surveys following Scan-to-BIM principles, is enriched with information related to the crack pattern, semi-automatically mapped using convolutional neural networks. This integration enables a shift beyond purely descriptive approaches, guiding the process towards a semi-automatic evaluation of the damage index and contributing to the development of interoperable information systems for the preventive management of cultural heritage.