Parametric Ship Hull

Parametric ship hull design leverages computational methods to automate and optimize the creation of ship hulls, aiming to reduce design time and improve performance. Recent research heavily utilizes generative AI models, such as diffusion models and Generative Adversarial Networks (GANs), to generate diverse and high-performing hull designs that meet specific constraints, like desired dimensions or low drag. These models are trained on large datasets of existing ship designs, enabling the creation of both traditional and novel hull forms. This approach promises significant cost savings and efficiency improvements in the shipbuilding industry by accelerating the design process and exploring a wider range of design possibilities.