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Development of a damage assessment matrix for load-bearing masonry houses

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dc.contributor.author Thalpage, SL
dc.contributor.author Jayasinghe, C
dc.contributor.author Ariyaratne, IE
dc.contributor.editor Pasindu, HR
dc.contributor.editor Damruwan, H
dc.contributor.editor Weerasinghe, P
dc.contributor.editor Fernando, L
dc.contributor.editor Rajapakse, C
dc.date.accessioned 2024-10-01T03:43:59Z
dc.date.available 2024-10-01T03:43:59Z
dc.date.issued 2024
dc.identifier.uri http://dl.lib.uom.lk/handle/123/22832
dc.description.abstract Masonry houses are common types of buildings constructed using materials like bricks, stones, or concrete blocks. They are popular due to their durability and aesthetic appeal. However, as masonry structures age, they become vulnerable to various forms of crack damage that can potentially compromise their structural integrity and the safety and comfort of their occupants. While numerous studies have examined the condition assessment of buildings, they primarily rely on visual inspection conducted by inspectors who often base their evaluations on personal experience, biases, and risk attitudes. Recognizing the absence of a standardized method for assessing wall crack damages, this research study was aimed at developing a crack damage assessment matrix specifically focusing on single-story, load-bearing masonry houses. A database surrounding over 270 instances of cracks in approximately 60 houses from the Higurankgoda area in Sri Lanka, is considered to determine the key factors influencing the damage severity and safety of the house. Severity considerations include crack length, width, and number of cracks in the wall, while safety factors encompass crack severity level, separation level of the crack, surface condition of the cracked wall, crack location, crack direction, and structural degradations. To construct a data-driven prioritization matrix, the study employs the Analytical Hierarchy Process (AHP) and a probability-based approach, utilizing real-world data to assign reliable weightage to each parameter. This research determines the influence weightage of each parameter on overall safety and stability. The calculated weightage results indicate that the parameter with the highest impact is from the structural degradations, while the parameter with the lowest impact is from the crack direction. This matrix facilitates a Risk Level Index (RLI) to assess the overall impact of individual cracks and a systematic approach is proposed to determine the overall risk level of the house. The systematic approach illustrates the risk level for the house when it has varying numbers of wall cracks based on the generated RLI value and the number of cracks in each influence category. Fifteen single-story load-bearing masonry houses were selected for the testing and verification of the developed matrix, and the outcomes of the matrix were compared with the already assigned risk levels by experts for each house. The proposed matrix was tested and validated with more than 80% accuracy level. This prioritization matrix will empower engineers, and homeowners to efficiently prioritize repair efforts and allocate resources based on potential risk. The proposed approach integrates advanced analytical techniques with practical insights to enhance decision-making in addressing wall crack damages in masonry houses. en_US
dc.language.iso en en_US
dc.publisher Department of Civil Engineering, University of Moratuwa en_US
dc.subject Analytical hierarchy process en_US
dc.subject Damage assessment en_US
dc.subject Masonry cracks en_US
dc.subject Severity and safety en_US
dc.title Development of a damage assessment matrix for load-bearing masonry houses en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Civil Engineering en_US
dc.identifier.year 2024 en_US
dc.identifier.conference Civil Engineering Research Symposium 2024 en_US
dc.identifier.place Moratuwa en_US
dc.identifier.pgnos pp.63-64 en_US
dc.identifier.proceeding Proceedings of Civil Engineering Research Symposium 2024 en_US
dc.identifier.email chintha@uom.lk en_US
dc.identifier.doi https://doi.org/10.31705/CERS.2024.32 en_US


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  • CERS - 2024 [47]
    Civil Engineering Research Symposium 2024

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