Marine and Offshore Engineering

The numerical simulation of a ship’s structural response is typically addressed by modelling the structure with simplified beam models. And the main reason can be found in the computational cost of the structural solver when solving the fully coupled hydro-elastic problems. We use a reduce order method based on modal matrix reduction is applied to reduce the computational cost of the structural solver. The main idea is to largely reduce the number of degrees of freedom of the structural system by retaining only those modes with significant energy.

Development and application of advanced an efficient computational tools for the fast hydrodynamic analysis of ships and offshore structures. The SL-PFEM combines in an innovative way the best particulars of the finite element method and Lagrangian particles to obtain a numerical method capable of dealing with complex hydrodynamics.

Development of computational tools based on Artificial Intelligence for the ultra-fast prediction of seakeeping of ships. By training artificial neural networks (ANNs) with synthetic data, a set of ANNs have been developed capable of predicting the seakeeping coefficients for conventional monohull ships and with similar accuracy of tradition boundary element codes. The main objective is to provide a computational tool capable of performing massive analysis to be applied for seakeeping optimization during the early stages of design.