Neuro-control of fixed offshore structures under earthquake

Abstract

An intelligent control technique using a neural network is proposed for seismic protection of offshore structures. Fluid-structure interaction was considered in developing controller and a training algorithm for the neuron-controller is presented. In the numerical example, the performance of the proposed neuron-controller was evaluated. Moreover, a neuron-controller is tested even when it is trained by using a linearized equation of motion for fluid structure interaction (FSI). Based on the examples, it can be concluded that the proposed neuro-control scheme can be used for offshore structures which have intrinsic nonlinearity due to FSI.