This research, which is based on the digital technologies building information modeling (BIM) and artificial intelligence, describes achievements in the field of detecting, assessing, and digitalising damage in existing buildings. The purpose of the study is to highlight the potential and current benefits of combining structural-assessment methods with the automatic digitisation of hazard-induced damage in affected buildings. To this end, the aforementioned technologies are employed in the form of an image-based recognition-BIM classification technique applied to on-site visual-damage data. By extending the methodology to existing masonry and concrete buildings, the results obtained open up new opportunities for speeding up the process of assessing, designing, and managing seismic repair/retrofit interventions using image data acquired in the manner described.

Building information modeling and artificial intelligence: Advanced technologies for the digitalisation of seismic damage in existing buildings / Musella, C.; Serra, M.; Menna, C.; Asprone, D.. - In: STRUCTURAL CONCRETE. - ISSN 1464-4177. - 22:5(2021), pp. 2761-2774. [10.1002/suco.202000029]

Building information modeling and artificial intelligence: Advanced technologies for the digitalisation of seismic damage in existing buildings

Musella C.;Serra M.;Menna C.;Asprone D.
2021

Abstract

This research, which is based on the digital technologies building information modeling (BIM) and artificial intelligence, describes achievements in the field of detecting, assessing, and digitalising damage in existing buildings. The purpose of the study is to highlight the potential and current benefits of combining structural-assessment methods with the automatic digitisation of hazard-induced damage in affected buildings. To this end, the aforementioned technologies are employed in the form of an image-based recognition-BIM classification technique applied to on-site visual-damage data. By extending the methodology to existing masonry and concrete buildings, the results obtained open up new opportunities for speeding up the process of assessing, designing, and managing seismic repair/retrofit interventions using image data acquired in the manner described.
2021
Building information modeling and artificial intelligence: Advanced technologies for the digitalisation of seismic damage in existing buildings / Musella, C.; Serra, M.; Menna, C.; Asprone, D.. - In: STRUCTURAL CONCRETE. - ISSN 1464-4177. - 22:5(2021), pp. 2761-2774. [10.1002/suco.202000029]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/880834
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