DAMAGE PREDICTION OF 2D/3D TRUSS STRUCTURES USING THE BLACK WIDOW OPTIMIZATION ALGORITHM

Abstract

Because of their simplicity and adaptability, nature-inspired optimization algorithms can handle a variety of technical and scientific challenges. Metaheuristic algorithms have recently emerged as effective techniques for resolving structural issues. The Black Widow Optimization Algorithm (BWOA), a metaheuristic algorithm, is used in this research to predict damage of 2D/3D truss structures. Cannibalism was one of the exclusive stages of this approach. Due to this stage, species with inappropriate fitness were omitted from the circle, thus leading to early convergence. Moreover, by using natural frequencies from finite element analysis for truss structure to set up the objective function, the final outcomes prove the effectiveness of this algorithm in solving real-world issues with unknown and challenging spaces.