DAMAGE ASSESSMENT OF UNREINFORCED MASONRYWALLS USING VISUAL DAMAGE FEATURES

Earthquakes can cause significant damage to structural components, particularly masonrystructures, leading to potential collapse risks and extensive repair costs. The objective of this researchis to investigate the damage state of unreinforced masonry walls using the visual damage features. Inthis study, visual damage features (i.e., crack length and crushed area) are extracted using computervision tools. Then, the correlation of crack length and crushed area with the damage state ofunreinforced masonry walls was assessed. According to the result of this study, there is a meaningfulcorrelation between the damage state of unreinforced masonry walls and the extracted damagefeatures. Thus, the proposed method has the potential to be used in automated post-earthquake damageassessment frameworks, allowing for decisions regarding repair and reconstruction followingearthquakes.

کلیدواژه ها:

Surface Damage ، Unreinforced Masonry Wall ، Damage Assessment ، Computer Vision