A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures

Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for identification in complex structures. To verify the effectiveness indicator, different structures used, namely a 20-Bar Planar Truss (2D), 28-Bar Space (3D), 72-Bar Truss, and 600-bar Truss. The numerical models all these built MATLAB using Finite Element Method (FEM). detects localises single multiple damages first stage. Next, after eliminating healthy elements, it is used new objective function to solve quantification problem recent optimization techniques, including Artificial Gorilla Troops Optimizer (GTO), Dingo Optimization Algorithm (DOA), African Vulture algorithm (AVOA), Gradient-Based (GBO). results demonstrate that techniques can accurately predict exact level damage. However, GTO most efficient terms convergence. study this case noisy data, levels noise considered assessment exercises.