Abstract This study sets up an automatic design optimization procedure for SWATH, which integrates computational fluid dynamics (CFD) analysis, geometrical modification and optimization algorithm. A high-fidelity CFD solver based on… Click to show full abstract
Abstract This study sets up an automatic design optimization procedure for SWATH, which integrates computational fluid dynamics (CFD) analysis, geometrical modification and optimization algorithm. A high-fidelity CFD solver based on Reynolds Averaged Navier-Stokes (RANS) equations which has been proved giving accurate flow prediction, is integrated into the optimization module. The Response Surface Model (RSM) is built as a surrogate for computationally expensive numerical simulations to improve the efficiency of the optimization. The Multi-island Genetic Algorithm (MIGA) is applied to the optimization. A 2.7m SWATH test model has been taken as a verification model. The optimization result shows the effectiveness of the optimization and the advantage of the achieving hull forms that have lower resistance than the original hull.
               
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