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NUMERICAL ESTIMATION OF HULL HYDRODYNAMIC DERIVATIVES IN SHIP MANEUVERING PREDICTION

Abstract

Prediction of the maneuvering characteristics of a ship at the design stage can be done by means of model tests, computational simulations or a combination of both. The model tests can be realized as a direct simulation of the standard maneuvers with the free running model, which gives the most accurate results but is also the least aff ordable, as it requires a very large tank or natural lake, as well as the complex equipment of the model. Alternatively, a captive model test can be used to identify the hydrodynamic characteristics of the hull, which can be used to simulate the standard maneuvers with the use of dedicated software. Two types of captive model tests are distinguished: circular motion tests (CMT) and planar motion mechanism tests (PMM). The paper presents an attempt to develop a computational method for ship maneuverability prediction in which the hydrodynamic characteristics of the hull are identifi ed by means of computational fl uid dynamics (CFD). The CFD analyses presented here directly simulate the circular motion test. The resulting hull characteristics are verifi ed against the available literature data, and the results of the simulations are verified against the results of free running model tests. Reasonable agreement shows the large potential of the proposed method.

Keywords:

Captive model tests, CFD tools in maneuvering prediction, MOERI Container ship (KCS), Hull hydrodynamic derivatives, Mathematical model of ship motion

Details

Issue
Vol. 28 No. 2(110) (2021)
Section
Latest Articles
Published
15-07-2021
DOI:
https://doi.org/10.2478/pomr-2021-0020
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Open Access License

This journal provides immediate open access to its content under the Creative Commons BY 4.0 license. Authors who publish with this journal retain all copyrights and agree to the terms of the CC BY 4.0 license.

 

Authors

  • Radosław Kołodziej

    Maritime Advanced Research Centre; Gdańsk University of Technology
  • Paweł Hoffmann

    Maritime Advanced Research Centre

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