Nature-Inspired Optimization for Frequency-Based Damage Identification in Planar and Space Trusses

This paper introduces an effective method for damage identification in engineering structures by analyzing alterations in natural frequencies. The study treats this problem as an optimization task, employing three newly developed optimizers: Mountain Gazelle Optimizer (MGO), Gazelle Optimization Algorithm (GOA), and Pelican Optimization Algorithm (POA). Finite Element Method (FEM) is utilized to model a 9-bar planar truss and a 25-bar space truss, simulating damage through a stiffness reduction factor. An objective function, incorporating both measured and calculated natural frequencies, is minimized using the three optimization algorithms. Numerical results demonstrate the accuracy of the proposed approach in identifying single and multiple damages in planar and space truss structures. The study contributes to the field of damage identification methods, providing a practical and efficient tool for maintaining structural safety and durability.