New Green-Function Method to Predict Wave-Induced Ship Motions and Loads
A three-dimensional numerical method based on the new Green function given in Chen (1999) and the higher-order description of ship hull by bi-quadratic patches has been developed in order to predict wave-induced ship motions and loads. The development of this new method and its validations through a comprehensive comparison with semi-analytical solutions and results of experimental measurements, are described in the paper. Recent work on the ship-motion Green function in both analytical and numerical aspects provides an accurate and efficient way to evaluate the influence coefficients involved in integral equations. The use of bi-quadratic patches gives a precise representation of the ship geometry and a continuous representation of the velocity potential over the ship hull. Furthermore, application of the Galerkin procedure yields a square-matrix system and improves the accuracy of solutions. The excellent level of agreement with known semi-analytical solutions and experimental measurements shows that the present numerical method is reliable and practical in a number of applications.
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Availability:
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Corporate Authors:
Office of Naval Research
Department of the Navy, 800 North Quincy Street
Arlington, VA United States 22217Bassin d'Essais des Carenes
Chaussee du Vexin
Val-de-Reuil, France 27100National Research Council
Naval Studies Board, 500 5th Street, NW
Washington, DC United States 20001 -
Authors:
- Chen, X-B
- Diebold, L
- Doutreleau, Y
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Conference:
- Twenty-Third Symposium on Naval Hydrodynamics
- Location: Val de Reuil , France
- Date: 2000-9-17 to 2000-9-22
- Publication Date: 2001
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 66-81
- Monograph Title: Twenty-Third Symposium on Naval Hydrodynamics
Subject/Index Terms
- TRT Terms: Green's function; Hulls; Hydrodynamics; Loads; Ocean waves; Ship motion; Ships
- Subject Areas: Marine Transportation;
Filing Info
- Accession Number: 01369757
- Record Type: Publication
- ISBN: 9780309254670
- Files: TRIS
- Created Date: May 11 2012 9:05AM