Finite Element Model Updating for Composite Plate Structures Using Particle Swarm Optimization Algorithm

In the Architecture, Engineering, and Construction (AEC) industry, particularly civil engineering, Finite Element Method (FEM) is a widely applied method for computational designs. this regard, simulation has increasingly become challenging due to uncertain parameters, significantly affecting structural analysis evaluation results, especially composite complex structures. Therefore, determining exact parameters crucial since structures involve many components with different material properties, even removing some additional affects calculation results. This study presents solution increase accuracy of finite element (FE) model using swarm intelligence-based approach called particle optimization (PSO) algorithm. The FE created based on structure’s easily observable characteristics, in which uncertainty are assumed empirically will be updated via PSO dynamic experimental results show that achieves high accuracy, improved after updating (shown by presented article). way, precise reliable can reliability design tasks. During research project, considering algorithm was integrated into an actual bridge’s health monitoring (SHM) system, premise creating initial digital twin advanced twinning technology.