Analytical Review of Numerical Analysis in Hydrodynamic Performance of the Ship: Effect to Hull-Form Modifications

Aldias Bahatmaka (Department of Mechanical Engineering, Universitas Negeri Semarang, Semarang, Indonesia)
Deni Fajar Fitriyana (Department of Mechanical Engineering, Universitas Negeri Semarang, Semarang, Indonesia)
Samsudin Anis (Department of Mechanical Engineering, Universitas Negeri Semarang, Semarang, Indonesia)
Achmad Yanuar Maulana (Department of Chemistry, Dong-A University, Busan, South Korea)
Mamad Tamamadin (University Core Research Center for Disaster-free & Safe Ocean City Construction, Dong-A University, Busan, South Korea)
Sang Won Lee (Department of Fluid, Research and Development, Daewoo Shipbuilding and Marine Engineering, Co. Ltd., Geoje, South Korea)
Joung Hyoung Cho (Interdisciplinary Program of Marine Design Convergence, Pukyong National University, Busan, South Korea)

Mekanika: Majalah Ilmiah Mekanika
Vol 23, No 1 (2024): MEKANIKA: Majalah Ilmiah Mekanika

This review paper provides an overview of simulation-based hydrodynamic design optimization for ship hull forms. It also includes a numerical analysis aimed at accomplish early-stage simulation-based design in terms of hydrodynamic performance. A hydrodynamic module, a hull surface modeling module, and an optimization module are the primary components of this numerical analysis. The hydrodynamic module includes both simple design approaches and high-fidelity numeric tools; these integrated tools are used to evaluate hydrodynamic performances at different design stages. The hull surface modeling module offers a variety of techniques for ship hull surface representation and modification. It is also used to automatically create hull forms or change existing hull forms based on hydrodynamic performance and design constraints. The optimization module includes several optimization algorithms and surrogate models used to determine optimal designs in terms of hydrodynamic performance. Numerical findings indicate that the current tool is well suited for hull form design optimization at the early design stage because it can produce effective optimal designs within a short time.