A reduced order data-driven method for resistance prediction and shape optimization of hull vane

Çelik C., Danışman D. B., Khan S., Kaklis P.

OCEAN ENGINEERING, cilt.235, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 235
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1016/j.oceaneng.2021.109406
  • Dergi Adı: OCEAN ENGINEERING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Aquatic Science & Fisheries Abstracts (ASFA), Communication Abstracts, Computer & Applied Sciences, Environment Index, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
  • Anahtar Kelimeler: Hull vane, Stern foil, Principal component analysis, Machine learning, Artificial neural network, Optimization, ARTIFICIAL NEURAL-NETWORKS, DESIGN, PERFORMANCE, DIMENSIONALITY, SIMULATIONS, REDUCTION
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Hull Vane (HV) is an energy-saving appendage introduced by Hull Vane BV company to reduce total ship resistance. Shapewise, HV is a hydrofoil wing transversely fixed at the transom bottom of the hull.