An optimization framework for design of planing craft is presented in this paper. The data of an available planing craft is used to retrieve the control points of the B-spline surfaces through inverse fitting, while a commercial code Maxsurf is used to calculate the hydrostatics and the hydrodynamic performance of the craft. The optimization process is controlled by an evolutionary algorithm via the variables length, breadth and draft which in turn invokes the parametric transformation scheme of Maxsurf to generate various planing craft like hull forms as candidate solutions. The paper also introduces a surrogate assisted scheme, where the number of candidate design evaluations is reduced through the use of approximations. Examples involving the identification of a vessel within 5% of a target vessel’s resistance, displacement and metacentric height, a single objective problem of resistance minimization and a surrogate assisted single objective resistance minimization case is presented in this paper. In the first example, a solution of goal based design problem is presented to identify the basis ship within 5% of the target performance indicators while for the resistance minimization examples, a reduction of 14.03% of resistance was achieved while meeting the design constraints.
展开▼
