Design by Optimization of Ship Hull Forms. New perspectives through full parametric modelling and multi-objective optimization

Giuliano Vernengo (MIT - Innovative Ship Design Lab)

CHALLENGE - Conventional hydrodynamic studies in ship engineering have so far relied in physical tow tanks testing for the analysis and prediction phases as well as approximate modeling for what concerns design methods. This often results in a slow and inefficient process. At the MIT’s iShip Lab, a new approach including virtual towing tanks and automation of the design process is being developed.

SOLUTION - Ship hull form optimization was implemented by initially defining the parametric hull geometry and the CFD models to analyze fluid-dynamic behavior. By using modeFRONTIER, MIT researchers were able to couple the solver methods they developed with the other elements of the optimization. Researchers focused on validation and intelligent integration to create two 3D models (following the Holtrop method and the Linear Panel method) and optimize total resistance.

BENEFITS - Many design variables could be incorporated in the optimization with modeFRONTIER, where 29 free parameters could be considered conveying a high level of fidelity in the analysis. By evaluating nearly 20,000 designs, the process allowed for consideration of two contrasting objectives relating to total resistance and identification of the best compromise by exploiting the multi-objective algorithms of modeFRONTIER.