Application of Image Processing Methods in Damage Assessment and Management of Concrete Walls

After the occurrence of natural disasters such as earthquakes, the engineers' first action is the initial safety assessment and determination of the performance grade of the structures. Existing methods, including eye examinations, are prone to many errors. These types of methods, depend on the level of knowledge, experience, and judgment of individuals. Therefore, attempts have been made to use methods to quantify fault detection. In each of these methods, it is necessary to use an indicator to measure failures. Another point to keep in mind is that new computer science methods have made it possible to use image processing tools to measure breakdown indices. In this study, after examining the types of shear wall failure, the crack width criterion has been introduced as an indicator to evaluate the failure. By examining image processing methods, a suitable method for evaluating shear wall failure has been presented. This study's results can be used to assess the failure of shear walls and determine their damage.