Abstract
Abstract
In presence of complex-hydrodynamic interaction between water waves and floating structures, a reliable method that can analyse nonlinear structural properties is necessarily required. This paper presents a numerical investigation of the moored floating structures by application of swarm intelligence (SI). Here, a hybrid particle swarm optimization (PSO) algorithm with various swarm parameters are proposed to solve systems of sparse-nonlinear equations for the surge, heave, and pitch motion responses by considering distorted wave motion. In addition, a computational fluid dynamic (CFD) programme is developed using Reynolds Average Navier-Stokes (RANS) solver. Various wave parameters including a set of optimization criteria have been taken into account in a complete optimization simulation, where the optimum solutions are then selected at each numerical iteration. Meanwhile, the computed results of surge, heave, and pitch motions will be qualitatively validated, in which they are then visualized using CFD approach. The results show that the integrated SI-CFD model can simulate fairly well on hydrodynamics of floating structures with reasonable computational efficiency. Harnessing computational intelligence into a novel design concept of floating structures can serve as useful engineering decision-making tool.