Work

Scientific mapping of artificial intelligence (AI) assisted applications in historical building conservation

Year: 2025

Type: article

Abstract: The application of developing computer technologies such as artificial intelligence (AI), deep learning (DL), and machine learning (ML) on digital image data can help in monitoring, controlling, and preserving cultural heritage buildings. Defects such as mortar losses, joint damage, discoloration, erosion, cracks, vegetation, leakage, and vandalism seen in cultural heritage buildings negatively affect their structural health. There are a limited number of studies on the use of artificial intelligence and integration at cultural heritage buildings. This study includes the research and bibliometric analysis of existing studies. In the study, structural damage detection techniques performed using AI-assisted image processing techniques are summarized, and deep learning techniques applied, especially in the conservation of heritage sites, are detailed. The study found a significant deficiency in the number of applications and research in this field, particularly within Türkiye. AI-assisted digital inspections provide useful data for studies to be conducted in this field and increase the level of confidence in the damage detection of heritage buildings. As a result, today, artificial intelligence, the effective use of which is increasing rapidly, can be integrated into many fields and enables interdisciplinary studies.

Source: Journal of Asian Architecture and Building Engineering

DOI: 10.1080/13467581.2025.2505794

Author: İzzettin Kutlu

Institution: Mardin Artuklu University

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,165