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Titlebook: Numerical Ship Hydrodynamics; An assessment of the Lars Larsson,Frederick Stern,Michel Visonneau Book 2014 Springer Science+Business Media

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书目名称Numerical Ship Hydrodynamics
副标题An assessment of the
编辑Lars Larsson,Frederick Stern,Michel Visonneau
视频video
概述Provides a thorough assessment of the state-of-the-art of CFD in Ship Hydrodynamics.First book on this topic.Concrete, numerical values of attainable accuracy for all types of predictions are presente
图书封面Titlebook: Numerical Ship Hydrodynamics; An assessment of the Lars Larsson,Frederick Stern,Michel Visonneau Book 2014 Springer Science+Business Media
描述.This book assesses the state-of-the-art in computational fluid dynamics (CFD) applied to ship hydrodynamics and provides guidelines for the future developments in the field based on the Gothenburg 2010 Workshop. It presents ship hull test cases, experimental data and submitted computational methods, conditions, grids and results.  Analysis is made of errors for global (resistance, sinkage and trim and self-propulsion) and local flow (wave elevations and mean velocities and turbulence) variables, including standard deviations for global variables and propeller modeling for self-propulsion. The effects of grid size and turbulence models are evaluated for both global and local flow variables. Detailed analysis is made of turbulence modeling capabilities for capturing local flow physics. Errors are also analyzed for head-wave seakeeping and forward speed diffraction, and calm-water forward speed-roll decay. Resistance submissions are used to evaluate the error and uncertainty by means of a systematic verification and validation (V&V) study along with statistical investigations.  Post-workshop experimental and computational studies are conducted and analyzed for evaluation of facility
出版日期Book 2014
关键词Assessment; Computational Fluid Dynamics (CFD); Computational Hydrodynamics; Ship Hydrodynamics; State-o
版次1
doihttps://doi.org/10.1007/978-94-007-7189-5
isbn_softcover978-94-024-0085-4
isbn_ebook978-94-007-7189-5
copyrightSpringer Science+Business Media Dordrecht 2014
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Evaluation of Resistance, Sinkage and Trim, Self Propulsion and Wave Pattern Predictions,s. It is found that for grid sizes larger than 3M cells all submissions are within 4 % of the measured data. The mean comparison error (data-simulation) is only −0.1 % and the mean standard deviation is 2.1 % of the data value, excluding self-propelled cases for which the error is larger. There is n
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Additional Data for Resistance, Sinkage and Trim,with the original data used at the Workshop. The purpose is to provide additional information useful for future validation of CFD results and to estimate the uncertainty in the data from the different facilities. However, due to lack of information about precision in most measurements only bias erro
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