Time reversal damage localization method of ocean platform based on particle swarm optimization algorithm

The traditional time reversal is considered a promising approach for non-destructive testing and health monitoring of key region and structure, but it is considerably time consuming. This paper presents a time reversal damage localization method, based on particle swarm optimization algorithm, which is capable of improving the real-time performance of health monitoring in ocean platform. Firstly, the virtual focusing model of time reversal is constructed, and a succinct expression of virtual focusing for sensor pairs is proposed. Then, on the definition of the evaluation index, the PSO based time reversal algorithm is proposed, and the proper coefficients is given. Finally, the finite element simulation and experimental case validate that the proposed method is capable of find the damage location within limit iterative steps. Thus, the proposed method is a hopeful method for online monitoring and damage localization of large sized structure.