Academic Bibliography

 Search 200 years of publications by Ghent University researchers.
Advanced search
2 files | 15.80 MB
Add to list
  1. Search results
  2. Unsteady ship-bank interaction: a com...

Unsteady ship-bank interaction: a comparison between experimental and computational predictions

Guillaume Delefortrie (UGent) , J. Verwilligen, C. Kochanowski, J. A. Pinkster, Z. M. Yuan, Y. H. Liu, M. Kastens, W. Van Hoydonck, H. J. M. Pinkster and Evert Lataire (UGent)
(2024) SHIP TECHNOLOGY RESEARCH. 71(1). p.33-57
Author
Organization
Abstract
A collaborative exercise is presented where different numerical methods were used to recreate the forces acting on a ship model while executing captive model tests along a channel which has an unsteady cross section (dock opening). Such a layout is typical for a harbour environment. The unsteady nature of the cross section leads to peak values in forces, sinkage and free surface deformations. Experimental tests were conducted by Flanders Hydraulics (with the co-operation of Ghent University). Numerical contributions involve three potential flow methods (Strathclyde University and Pinkster Marine Hydrodynamics) and one RANS method (Federal Waterways Engineering and Research Institute of Germany). All methods are capable of qualitatively predicting the water level variations and sinkage and trim of the vessel. RANS has a better capability of predicting the unsteady sway force and yaw moment acting on the ship including sinkage and trim, but it comes at a much higher computational cost.
Keywords
Unsteady, harbour, benchmark, hydrodynamics, potential flow, RANS, EFD, ship-bank

Downloads

  • Download
    (...).pdf
    • full text (Published version)
    • |
    • UGent only
    • |
    • PDF
    • |
    • 7.67 MB
  • Download
    UnsteadyBankEffects R1 WITH AUTHORS v00 no track changes with shorter abstract.docx
    • full text (Accepted manuscript)
    • |
    • open access
    • |
    • Word
    • |
    • 8.13 MB

Citation

Please use this url to cite or link to this publication:

MLA
Delefortrie, Guillaume, et al. “Unsteady Ship-Bank Interaction: A Comparison between Experimental and Computational Predictions.” SHIP TECHNOLOGY RESEARCH, vol. 71, no. 1, 2024, pp. 33–57, doi:10.1080/09377255.2023.2275372.
APA
Delefortrie, G., Verwilligen, J., Kochanowski, C., Pinkster, J. A., Yuan, Z. M., Liu, Y. H., … Lataire, E. (2024). Unsteady ship-bank interaction: a comparison between experimental and computational predictions. SHIP TECHNOLOGY RESEARCH, 71(1), 33–57. https://doi.org/10.1080/09377255.2023.2275372
Chicago author-date
Delefortrie, Guillaume, J. Verwilligen, C. Kochanowski, J. A. Pinkster, Z. M. Yuan, Y. H. Liu, M. Kastens, W. Van Hoydonck, H. J. M. Pinkster, and Evert Lataire. 2024. “Unsteady Ship-Bank Interaction: A Comparison between Experimental and Computational Predictions.” SHIP TECHNOLOGY RESEARCH 71 (1): 33–57. https://doi.org/10.1080/09377255.2023.2275372.
Chicago author-date (all authors)
Delefortrie, Guillaume, J. Verwilligen, C. Kochanowski, J. A. Pinkster, Z. M. Yuan, Y. H. Liu, M. Kastens, W. Van Hoydonck, H. J. M. Pinkster, and Evert Lataire. 2024. “Unsteady Ship-Bank Interaction: A Comparison between Experimental and Computational Predictions.” SHIP TECHNOLOGY RESEARCH 71 (1): 33–57. doi:10.1080/09377255.2023.2275372.
Vancouver
1.
Delefortrie G, Verwilligen J, Kochanowski C, Pinkster JA, Yuan ZM, Liu YH, et al. Unsteady ship-bank interaction: a comparison between experimental and computational predictions. SHIP TECHNOLOGY RESEARCH. 2024;71(1):33–57.
IEEE
[1]
G. Delefortrie et al., “Unsteady ship-bank interaction: a comparison between experimental and computational predictions,” SHIP TECHNOLOGY RESEARCH, vol. 71, no. 1, pp. 33–57, 2024.
@article{01HXXT6BKYT0DY5JTHKQ2MXZCT,
  abstract     = {{A collaborative exercise is presented where different numerical methods were used to recreate the forces acting on a ship model while executing captive model tests along a channel which has an unsteady cross section (dock opening). Such a layout is typical for a harbour environment. The unsteady nature of the cross section leads to peak values in forces, sinkage and free surface deformations. Experimental tests were conducted by Flanders Hydraulics (with the co-operation of Ghent University). Numerical contributions involve three potential flow methods (Strathclyde University and Pinkster Marine Hydrodynamics) and one RANS method (Federal Waterways Engineering and Research Institute of Germany). All methods are capable of qualitatively predicting the water level variations and sinkage and trim of the vessel. RANS has a better capability of predicting the unsteady sway force and yaw moment acting on the ship including sinkage and trim, but it comes at a much higher computational cost.}},
  author       = {{Delefortrie, Guillaume and  Verwilligen, J. and  Kochanowski, C. and  Pinkster, J. A. and  Yuan, Z. M. and  Liu, Y. H. and  Kastens, M. and  Van Hoydonck, W. and  Pinkster, H. J. M. and Lataire, Evert}},
  issn         = {{0937-7255}},
  journal      = {{SHIP TECHNOLOGY RESEARCH}},
  keywords     = {{Unsteady,harbour,benchmark,hydrodynamics,potential flow,RANS,EFD,ship-bank}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{33--57}},
  title        = {{Unsteady ship-bank interaction: a comparison between experimental and computational predictions}},
  url          = {{http://doi.org/10.1080/09377255.2023.2275372}},
  volume       = {{71}},
  year         = {{2024}},
}
Altmetric
View in Altmetric