Actions for Numerical Methods for Seakeeping Problems [electronic resource]

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Numerical Methods for Seakeeping Problems [electronic resource] / by Bettar Ould el Moctar, Thomas E. Schellin, Heinrich Söding

Author
el Moctar, Bettar Ould
Published
Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition
1st ed. 2021.
Physical Description
XII, 290 pages 80 illustrations, 9 illustrations in color : online resource
Additional Creators
Schellin, Thomas E., Söding, Heinrich, and SpringerLink (Online service)
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Contents
Introduction -- Fundamentals of Hydordynamics and Statistics Wave Theories -- Kinematics and Dynamics of rigid bodies -- Strip Methods -- Boundary Element Methods -- Field Methods -- Computational Procedures -- Applications.
Summary
The book describes currently applied and newly developed advanced numerical methods for wave-induced ship motions and loads. Besides well-established computational methods based on strip theory, panel methods and finite volume methods for unsteady Reynolds-averaged Navier-Stokes equations (URANS), recent advances like a fully nonlinear Rankine panel method, URANS calculations including elastic hull deformations, and an improved method to predict added resistance in waves are explained in detail. Furthermore, statistical methods to assess extreme motions and loads are described both for linear and nonlinear responses in a stationary seaway as well as during long-term ship operations. Results of motions and loads, computed using the various methods, are compared with each other and with results of model experiments. Introductory chapters on fluid dynamics, motions of rigid and elastic ship hulls, numerical methods to compute fluid flows associated with wind waves, and the development and simulation of seaways complement the volume. The book will be of interest to post-graduate students, PhD candidates, as well as engineers in the field of naval architecture, ocean, and marine engineering.
Subject(s)
ISBN
9783030625610
Digital File Characteristics
PDF
text file
Part Of
Springer Nature eBook
View MARC record | catkey: 32863454