Data driven shape optimization system.
An efficient computational pipeline to reduce the ship resistance
in calm water scenario.
Fincantieri S.p.A., one of the largest shipbuilding companies in the world, was interested in an efficient shape optimization framework to reduce the hydrodinamic ship resistance. The aim is to achieve a remarkable reduction of the fuel consumption in the new cruise ships.
Challenges and goals
Obtain a parametric formulation of the original shape.
Increase the efficiency through the exploitation of model order reduction techniques.
Integrate all the tools to provide a black-box framework to optimize a certain objective function.
Mathematical and computational methods
The resulting optimization framework consists in a numerical pipeline composed by several tools.
Free-form deformation is applied to hull shape to deform the original ship.
- The finite volume approach allows to simulate the turbulent flow. We collect the high-fidelity solutions database for some properly chosen configurations.
- We use dynamic mode decomposition to accelerate a single numerical simulation, thanks to its capability to individuate the system dynamics.
- Proper orthogonal decomposition with interpolation is applied to efficiently compute the solution of a parametric partial differential equations, exploiting the solutions database pre-computed.
Finally, we adopt a global optimization algorithm over the reduced space in order to converge to the optimal shape.