CFD-based multiobjective stochastic optimization of a waterjet propelled high speed ship

he paper describes the development and demonstration of Simulation Based Design (SBD) methods, which have been developed through the long-term international collaboration among three institutes. The methods are capable to solve stochastic optimization problems, and results for Robust Design Optimization (RDO) and Reliability-Based Robust Design Optimization (RBRDO) are presented. Non- gradient type, global optimization algorithms are applied, based on the success demonstrated in authors' recent studies. In addition, the concepts of Variable Fidelity/Physics approach are adopted, that is, both Unsteady RANS and Potential Flow based CFD methods are used. Recent development for geometry modelling/modification methods are also shown and found promising. In the following, an overview of the present method is given, and results are presented and discussed for the initial design of a waterjet propelled high-speed ship, namely the Delft Catamaran, where objective functions are minimized, in stochastic form and associated to real-ocean design conditions.