Developing a condition assessment method for the structural health monitoring (SHM) of unreinforced masonry (URM) structures is an utmost need to identify the remaining service life of the structure, the application of retrofitting techniques, and vulnerability assessment. However, existing methods have focused on a few parameters and not considered the significance and correlation between them. Existing methods for the condition assessment of URM structures use linguistic definitions to classify the degree of distress and lead to ambiguity and human perspective error. The SHM tool developed for this study suggested a numerical framework for evaluating and comparing the structural health of various URM structures. In this study, a new condition assessment method is developed using the fuzzy analytic hierarchy process (FAHP), which incorporates the visual inspections, crack details, structural characteristics, ground characteristics, casual characteristics, and masonry tests. Numerical thresholds were incorporated into this model to mitigate subjectivity. The viewpoints of 100 experts were gathered in matrix form, ensuring that the consistency of their opinions was maintained at less than 10%. Subsequently, FAHP was employed to calculate priority weights among the parameters, forming the basis for the development of rating equations. The developed SHM tool was applied to 12 URM structures including historical buildings, residential buildings, and office buildings in different locations.
Pushpakumara et al. (Thu,) studied this question.
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