A Two-Step Approach for Damage Identification in 3D Concrete Frame Using Damage Location Assurance Criterion (DLAC) Method and Cuckoo Search Algorithm

This paper introduces an efficient method to detect the damaged elements in a 3D concrete frame. First, Damage Location Assurance Criterion (DLAC) based on the changes in natural frequencies is selected as the objective function which is denoted to solve the inverse problem in damaged indicator. The calculation of this objective function value is determined through the model updating which using the finite element method. Second, Cuckoo search algorithm is utilized to minimize the objective function errors with design variables relating to the extent of identified damaged elements. And final, a 3D concrete frame with the different damaged case is used to consider the trustworthiness of the method introduced. The results obtained demonstrate that the computational advantages of the method presented to precisely determine the extent and location of multiple structural damages.