ASSESSING PHOTOGRAMMETRY ARTIFICIAL INTELLIGENCE IN MONUMENTAL BUILDINGS’ CRACK DIGITAL DETECTION

Authors

Said Maroun, PhD Candidate, Faculty of Architecture - Design & Built Environment, Beirut Arab University, LebanonFollow
Mostafa Khalifa, Assistant Professor, Faculty of Architecture - Design & Built Environment, Beirut Arab University, LebanonFollow
Nabil Mohareb, Associate Professor, Department of Architecture, School of Sciences and Engineering, The American University in Cairo, EgyptFollow

Author ORCID Identifier

Said Maroun - https://orcid.org/ 0000-0002-3124-3158

Mostafa Khalifa - https://orcid.org/ 0000-0001-5306-839X

Nabil Mohareb - https://orcid.org/ 0000-0001-9036-0381

Abstract

Natural and human-made disasters have significant impacts on monumental buildings, threatening them from being deteriorated. If no rapid consolidations took into consideration traumatic accidents would endanger the existence of precious sites. In this context, Beirut's enormous 4th of August 2020 explosion damaged an estimated 640 historical monuments, many volunteers assess damages for more than a year to prevent the more crucial risk of demolitions. This research aims to assist the collaboration ability among photogrammetry science, Artificial Intelligence Model (AIM) and Architectural Coding to optimize the process for better coverage and scientific approach of data specific to the crack disorders to build a comprehensive model consolidation technique. Despite the current technological improvement, the restoration of the existing monument is a challenging and lengthy process where the actual site situation's re-ignitions consume enormous time, from assessing the damages to establishing the restoration relying on human resource developments and manual drawings.

Keywords

Digital Documentation, Photogrammetry, Artificial intelligence, Algorithm

Disciplines

Architecture | Artificial Intelligence and Robotics | Arts and Humanities | Data Science | Engineering | Theory and Algorithms

Recommended Citation

Maroun, Said; Khalifa, Mostafa; and Mohareb, Nabil (2022) "ASSESSING PHOTOGRAMMETRY ARTIFICIAL INTELLIGENCE IN MONUMENTAL BUILDINGS’ CRACK DIGITAL DETECTION," Architecture and Planning Journal (APJ): Vol. 28: Iss. 1, Article 9.
DOI: https://doi.org/10.54729/OPTG2546