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PREDICTION OF SHIP MOTIONS VIA A THREE-DIMENSIONAL TIME-DOMAIN METHOD FOLLOWING A QUAD-TREE ADAPTIVE MESH TECHNIQUE

Abstract

A three-dimensional (3D) time-domain method is developed to predict ship motions in waves. To evaluate the Froude-Krylov (F-K) forces and hydrostatic forces under the instantaneous incident wave profile, an adaptive mesh technique based on a quad-tree subdivision is adopted to generate instantaneous wet meshes for ship. For quadrilateral panels under both mean free surface and instantaneous incident wave profiles, Froude-Krylov forces and hydrostatic forces are computed by analytical exact pressure integration expressions, allowing for considerably coarse meshes without loss of accuracy. And for quadrilateral panels interacting with the wave profile, F-K and hydrostatic forces are evaluated following a quad-tree subdivision. The transient free surface Green function (TFSGF) is essential to evaluate radiation and diffraction forces based on linear theory. To reduce the numerical error due to unclear partition, a precise integration method is applied to solve the TFSGF in the partition computation time domain. Computations are carried out for a Wigley hull form and S175 container ship, and the results show good agreement with both experimental results and published results.

Keywords:

Froude-Krylov forces, adaptive mesh technique, analytical, transient free surface Green function, precise integration method

Details

Issue
Vol. 27 No. 1(105) (2020)
Section
Latest Articles
Published
07-09-2021
DOI:
https://doi.org/10.2478/pomr-2020-0003
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

  • Teng Zhang

    Dalian Maritime University
  • Junsheng Ren

    Dalian Maritime University
  • Lu Liu

    Dongbei University of Finance and Economics

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