First-principles algorithms for ship motion simulation based on ARMA and trochoidal wave models
An approach for the direct simulation of ship behavior in heavy sea conditions using modern computers methods is described. The approach includes a model for wind-driven waves, algorithms for hydrodynamic pressure calculation, a solution of the diffraction problem, and the integration of the approach into a problem solution environment. An ARMA (autoregressive-moving average) model is used for the simulation of a hydrodynamically adequate spatial-temporal wave surface and integrated with a calculation of hydrodynamic pressure at any point under the wave surface. The integration of the wave pressure over the ship hull and the solution of the diffraction problem provides the excitation forces and moments and permits direct numerical simulation of ship motions in waves. An effective numerical implementation of the algorithms with mapping to modern computer architecture is described. The combination of the numerical algorithms with a visual simulation environment is presented as a virtual testbed.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
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Supplemental Notes:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Degtyarev, Alexander
- Khramushin, Vasily
- Publication Date: 2024-10-15
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 118395
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Serial:
- Ocean Engineering
- Volume: 310
- Issue Number: 0
- Publisher: Pergamon
- ISSN: 0029-8018
- EISSN: 1873-5258
- Serial URL: http://www.sciencedirect.com/science/journal/00298018
Subject/Index Terms
- TRT Terms: Algorithms; Mathematical models; Ocean waves; Ship motion; Simulation
- Identifier Terms: ARMA (Auto-Regressive Moving Average model)
- Subject Areas: Marine Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01930072
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 13 2024 10:33AM