The severity of damage detection by PSOPC and CSS algorithms in different members of the frame and in each scenario is shown separately in Table 9.
The results of damage detection with two algorithms in this large frame show that in case of only one member damaged, there is more accuracy with PSOPC algorithm in identifying of desired member and obtaining the amount of damage than the CSS algorithm.
The result increases the success rate of this type of algorithm performance, in comparison with the PSOPC algorithm.
In order to demonstrate the power of this algorithm in the diagnosis of damage, a comparison has been made between the results of this algorithm and the PSOPC algorithm.
In scenarios where the number of damaged elements is considered low, both algorithms have acceptable accuracy in the results; considering the more damaged members of structures, the PSOPC algorithm has been mistaken to identify the damaged elements of the structure.
Tabrizian, "Damage detection of skeletal structures using particle swarm optimizer with passive congregation (PSOPC) algorithm via incomplete modal data," Journal of Computational Methods in Civil Engineering, vol.