Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
CFD based form factor determination method
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. Chalmers University of Technology, Sweden. (SSPA)ORCID iD: 0000-0001-7136-7932
RISE Research Institutes of Sweden, Safety and Transport, Maritime department. (SSPA)ORCID iD: 0000-0002-6266-2320
National Maritime Research Institute, Japan.
Ecole Centrale de Nantes, France.
Show others and affiliations
2021 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 220, article id 108451Article in journal (Refereed) Published
Abstract [en]

The 1978 ITTC Power Prediction method is used to predict the propulsive power of ships through towing tank testing. The form factor approach and its determination in this method have been questioned. This paper investigates the possibility to improve the power predictions by introducing Combined CFD/EFD Method where the experimental determination of form factor is replaced by double body RANS computations applied for open cases KVLCC2 and KCS, including first-time published towing tank tests of KVLCC2 at ballast condition including an experimental uncertainty analysis specifically derived for the form factor. Computations from nine organisations and seven CFD codes are compared to the experiments. The form factor predictions for both hulls in design loading condition compared well with the experimental results in general. For the KVLCC2 ballast condition, majority of the form factors were under-predicted while staying within the experimental uncertainty. Speed dependency is observed with the application of ITTC57 line but it is reduced with the Katsui line and nearly eliminated by numerical friction lines. Comparison of the full-scale viscous resistance predictions obtained by the extrapolations from model scale and direct full-scale computations show that the Combined CFD/EFD Method show significantly less scatter and may thus be a preferred approach.

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 220, article id 108451
Keywords [en]
CFD, Combined CFD/EFD Methods, Experimental uncertainty analysis, Form factor, Scale effects, Ship resistance, Ballast (railroad track), Forecasting, Ship model tanks, Ship testing, Tanks (containers), Uncertainty analysis, Design loadings, Determination methods, Experimental determination, Experimental uncertainty, Form factors, Power predictions, Towing tank test, Viscous resistance, Approximation theory, computational fluid dynamics, hull, scale effect, ship design
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:ri:diva-57272DOI: 10.1016/j.oceaneng.2020.108451Scopus ID: 2-s2.0-85098181381OAI: oai:DiVA.org:ri-57272DiVA, id: diva2:1620811
Note

Funding details: 2019-A0052A01308, 2020-A0072A01308; Funding details: Office of Naval Research, ONR; Funding details: Japan Society for the Promotion of Science, KAKEN, 19k04872, JP18H01638; Funding details: VINNOVA, 2017–02953; Funding details: Chienkuo Technology University, CTU; Funding details: Grand Équipement National De Calcul Intensif, GENCI; Funding text 1: The contribution by SSPA/CTU was funded by VINNOVA, the Swedish Governmental Agency for Innovation Systems, grant 2017?02953, and the computational resources provided by Chalmers Center for Computational Science and Engineering (C3SE). The contribution by NMRI was partially funded by JSPS Grant-in-Aid for Scientific Research (C) #19k04872. The contribution by ECN/CNRS was granted access to the HPC resources of CINES and IDRIS computing centres under the allocations 2019-A0052A01308 and 2020-A0072A01308 made by GENCI (Grand ?quipement National de Calcul Intensif). The contribution by UM was supported by the US Office of Naval Research and the computational resources and services provided by Advanced Research Computing at the University of Michigan, Ann Arbor. The contribution by YNU was supported by JSPS (Japan Society for the Promotion of Science) KAKENHI grant number JP18H01638.; Funding text 2: The contribution by NMRI was partially funded by JSPS Grant-in-Aid for Scientific Research (C) # 19k04872 .; Funding text 3: The contribution by UM was supported by the US Office of Naval Research and the computational resources and services provided by Advanced Research Computing at the University of Michigan , Ann Arbor.; Funding text 4: The contribution by SSPA/CTU was funded by VINNOVA , the Swedish Governmental Agency for Innovation Systems , grant 2017–02953 , and the computational resources provided by Chalmers Center for Computational Science and Engineering (C3SE).; Funding text 5: The contribution by YNU was supported by JSPS (Japan Society for the Promotion of Science) KAKENHI grant number JP18H01638 .

Available from: 2021-12-16 Created: 2021-12-16 Last updated: 2024-02-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Korkmaz, Kadir BurakWerner, Sofia

Search in DiVA

By author/editor
Korkmaz, Kadir BurakWerner, Sofia
By organisation
Maritime department
In the same journal
Ocean Engineering
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 143 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf