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Articles | Volume XLVI-M-1-2021
https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-249-2021
https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-249-2021
28 Aug 2021
 | 28 Aug 2021

DIGITAL SURVEY AI AND SEMANTICS FOR RAILWAY MASONRY BRIDGES HEALTH ASSESSMENT

R. Garozzo and C. Santagati

Keywords: Railway Masonry Arch Bridge, Semantics, Digital Survey, Archival Research, Artificial Intelligence, H-BIM

Abstract. Masonry arch railway bridges represent a historically built heritage to be preserved. The multidisciplinary approach requires the construction of a common language, namely the creation of a formal conceptualisation of bridge domain that could serve as basis for both adding new layers of knowledge in H-BIM modeling and aiding the automatic segmentation of masonry bridge point clouds, thus supporting the semi-automatic creation of information models. The presented research aims at showing the results of an in-depth analysis conducted on masonry arched bridges computational ontologies; following this, the authors propose a semantic conceptualization in the masonry bridge domain, structured with three group of key concepts needed in the process of knowledge: bridge elements, materials, and defects. As a case study the masonry bridges of the Sicilian Circumetnea railway are chosen.