Developing a Robust Structural Health Monitoring Method For Offshore Jacket Platform Using Modified AIS Algorithm

Steel jacket-type platforms are the common kind of the offshore structures. Structural health monitoring and global damage detection techniques have received a great deal of attention in the literature. There is less report about applying of Artificial Immune System (AIS) methods for structural damage detection purposes. In this study, the incorporation of modified AIS method into finite element model updating (FEMU) are adapted for structural damage diagnosis in the jacket type structure and inspected experimentally using a laboratory model for developing the robust technique which is less sensitive to both measurement and analytical model uncertainties. The approach that is based upon mimicking immune recognition method offers important advantages.