In order to establish a proper geometry of an Unmanned Underwater Vehicle (UUV) for
stable motion control and energy usage reduction, this paper analyzes the hydrodynamic …

With recent advancements in artificial intelligence technology, various studies are being
conducted in the shipbuilding industry. Traditionally, hull form variation methods have relied …

The rapidly evolving field of engineering design of functional surfaces necessitates
sophisticated tools to manage the inherent complexity of high-dimensional design spaces …

Lifting hydrofoils are gaining importance, since they drastically reduce the wetted surface
area of a ship, thus decreasing resistance. To attain efficient hydrofoils, the geometries can …

This study presents a simulation-based design method, SBD-SSE, that leverages a selective
surrogate ensemble (SSE) for optimising marine propeller designs. By generating multiple …

This paper explores the integration of advanced machine learning (ML) techniques within
simulation-based design optimization (SBDO) processes for naval applications, focusing on …

To improve the performance indexes, such as safety, reliability and acoustic stealth, of a
submarine, it is significant to optimize the dynamic characteristics of its propulsion shafting …

This paper studies the estimation of the uncertainty for stochastic RBF multi-fidelity surrogate
models, focusing on two issues: limited numbers of data points (which is typical for surrogate …

This lecture introduces and discusses the development of two novel multi-fidelity
benchmarks designed for the field of ship hydrodynamic optimization and uncertainty …