An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment
Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza

TL;DR
This paper introduces a fully automated, open-source pipeline combining free-form deformation and active subspaces to reduce the parameter space in hull hydrodynamic design, significantly decreasing computational costs.
Contribution
It presents a novel automated methodology integrating free-form deformation, active subspaces, and dynamic mode decomposition for efficient hull shape optimization in open source environments.
Findings
Active subspaces identify lower-dimensional structures in shape parameters.
The pipeline reduces the number of required high-fidelity simulations.
Application to DTMB-5415 hull demonstrates effectiveness.
Abstract
In this contribution, we present the results of the application of a parameter space reduction methodology based on active subspaces to the hull hydrodynamic design problem. Several parametric deformations of an initial hull shape are considered to assess the influence of the shape parameters considered on the hull total drag. The hull resistance is typically computed by means of numerical simulations of the hydrodynamic flow past the ship. Given the high number of parameters involved - which might result in a high number of time consuming hydrodynamic simulations - assessing whether the parameters space can be reduced would lead to considerable computational cost reduction. Thus, the main idea of this work is to employ the active subspaces to identify possible lower dimensional structures in the parameter space, or to verify the parameter distribution in the position of the control…
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Taxonomy
TopicsModel Reduction and Neural Networks · Computational Fluid Dynamics and Aerodynamics · Fluid Dynamics and Vibration Analysis
