Hydrodynamic optimization of a high-speed vessel by means of simulation-based design methodology: part 2—multi-objective optimization

Timurlek H., Sener B.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, ss.1-16, 2024 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2024
  • Doi Numarası: 10.1007/s00773-024-01041-z
  • Dergi Adı: JOURNAL OF MARINE SCIENCE AND TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), Compendex, INSPEC
  • Sayfa Sayıları: ss.1-16
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

This study introduces a methodology for multi-objective optimization of a high-speed vessel. The introduced methodology
was put into practical application on benchmark form Model 5365, a 1/8.25 scaled representation of R/V Athena. The meth-
odology combines fully parametric model generation, Reynolds-averaged Navier–Stokes (RANS) based resistance estimation,
Strip Theory based seakeeping estimation, stability-check and genetic algorithm evaluation. CAESES, a simulation-based
design (SBD) platform, was employed to consolidate the entire workflow and autonomously manage the procedural aspects.
The non-dominated sorting genetic algorithm II (NSGA-II) was employed to optimize the conflicting objectives simultane-
ously. Pareto Frontiers were evaluated according to the scenarios created by weighting the objectives and compared with the
initial hull (Model 5365). Consequently, it can be deduced that the utilization of the simulation-based design (SBD) technique
proves to be effective in addressing multi-objective optimization issues pertaining to ship hydrodynamics.This study introduces a methodology for multi-objective optimization of a high-speed vessel. The introduced methodology
was put into practical application on benchmark form Model 5365, a 1/8.25 scaled representation of R/V Athena. The meth-
odology combines fully parametric model generation, Reynolds-averaged Navier–Stokes (RANS) based resistance estimation,
Strip Theory based seakeeping estimation, stability-check and genetic algorithm evaluation. CAESES, a simulation-based
design (SBD) platform, was employed to consolidate the entire workflow and autonomously manage the procedural aspects.
The non-dominated sorting genetic algorithm II (NSGA-II) was employed to optimize the conflicting objectives simultane-
ously. Pareto Frontiers were evaluated according to the scenarios created by weighting the objectives and compared with the
initial hull (Model 5365). Consequently, it can be deduced that the utilization of the simulation-based design (SBD) technique
proves to be effective in addressing multi-objective optimization issues pertaining to ship hydrodynamics.