Developing a Robust Damage Detection Method for Offshore Jacket Platform Using Particle Swarm Optimization Algorithm

Creation the necessary conditions to achieve reliable methods to estimate and detect structural damages of the main objectives of the research has been done in recent years. Due to the fact that each structure has its own characteristics, achieving to high reliable methods in the field of civil engineering is faced with a serious challenge [1, 2]. A number of researchers have proposed several methods based on different parameters and indices. But, vibration-based damage detection has been significantly developed in the past several decades but it has yet to be fully realized for large-scale structures and its technology is still developing rapidly [3]. In the vibration-based damage detection, the most widely used condition indices are modal parameters. In this research, new damage detection method based on combination optimization problem is introduced. In this study, modal parameters (Frequency, Frequency Response Function) used to detect and quantify damage with solving the inverse problem of optimization by particle swarm optimization (PSO) algorithm. Different damage scenarios apply on model and modal parameters is extracted and insert to the algorithm. According to results of solution the suitable parameter is introduced. Also, about the algorithm ability to detect damage scenarios discussed.