The paper investigates on the effects of the hydrodynamic solver on the multi-objective hull-form optimization of the DTMB 5415 model in calm water. Potential flow and RANS are compared. The former is formulated and implemented using two linearization approaches (Kelvin and Dawson), combined with two methods for the wave resistance. The Pareto fronts for the reduction of the resistance at two speeds are obtained by a multi-objective particle swarm optimization and are significantly affected by the potential flow formulation. A correlation analysis with RANS is shown, in order to suggest the most effective potential flow formulation for the present case.
A Multi-Objective Optimization: Effects of Potential Flow Formulation and RANS
Serani;Andrea;Campana;Emilio F;Diez;Matteo;
2016
Abstract
The paper investigates on the effects of the hydrodynamic solver on the multi-objective hull-form optimization of the DTMB 5415 model in calm water. Potential flow and RANS are compared. The former is formulated and implemented using two linearization approaches (Kelvin and Dawson), combined with two methods for the wave resistance. The Pareto fronts for the reduction of the resistance at two speeds are obtained by a multi-objective particle swarm optimization and are significantly affected by the potential flow formulation. A correlation analysis with RANS is shown, in order to suggest the most effective potential flow formulation for the present case.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
