ABSTRACT
The locations of structural damages are normally unknown in practical engineering, and using the swarm intelligent (SI) algorithm-based structural damage detection (SDD) approach requires evaluation of the objective function for the total population in each iteration, which is time-consuming. In this study, a two-stage (TS) SDD approach based on the modal strain energy (MSE) and the ALO-INM algorithm is proposed to solve these problems of the original ALO-INM-based method. At first, the potential structural damages are located by calculating the MSE change ratio (MSECR) values. These damaged elements will be further analyzed to identify and quantify the damage extents using the ALO-INM algorithm. Finally, the effectiveness of the proposed TSALO-INM approach is verified using numerical simulations of a 20-element simply supported beam. The results show that the proposed approach can accurately locate damages and quantify damage extents more precisely than the original approach, and its computational efficiency is also greatly improved.
