Titlebook: Numerical Ship Hydrodynamics; An Assessment of the Takanori Hino,Frederick Stern,Jin Kim Book 2021 The Editor(s) (if applicable) and The Au

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書目名稱Numerical Ship Hydrodynamics影響因子(影響力)




書目名稱Numerical Ship Hydrodynamics影響因子(影響力)學(xué)科排名




書目名稱Numerical Ship Hydrodynamics網(wǎng)絡(luò)公開度




書目名稱Numerical Ship Hydrodynamics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Ship Hydrodynamics被引頻次




書目名稱Numerical Ship Hydrodynamics被引頻次學(xué)科排名




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書目名稱Numerical Ship Hydrodynamics年度引用學(xué)科排名




書目名稱Numerical Ship Hydrodynamics讀者反饋




書目名稱Numerical Ship Hydrodynamics讀者反饋學(xué)科排名

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Takanori Hino,Nobuyuki Hirata,Frederick Stern,Lars Larsson,Michel Visonneau,Jin Kim They are of independent interest and unify several constructions that arise in a diverse range of areas, such as geometric group theory, homotopy theory, algebraic combinatorics and subspace arrangements..978-3-031-57206-7978-3-031-57204-3Series ISSN 1069-5265 Series E-ISSN 2194-1564

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Frederick Stern,Hamid Sadat-Hosseini,Timur Dogan,Matteo Diez,Dong Hwan Kim,Sungtek Park,Yugo Sanada

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Experimental Data for KCS Added Resistance and ONRT Free Running Course Keeping/Speed Loss in Head ely. In consideration of the differences in model sizes and rigid vs. surge free mounts the agreement between the facilities is reasonable: for the primary variables, SD?=?3, 20 and 10%D for z./ζ. and θ./ζ.k amplitudes and σ., respectively; and for secondary variable SD?=?66%D for first harmonic res

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Evaluation of Resistance, Sinkage, Trim and Wave Pattern Predictions for JBC,re advanced models, although the more and more popular Explicit Algebraic Stress Model (EASM) is close. A surprising result of the analysis is that methods with wall-functions give significantly smaller resistance errors than those with a wall-resolved flow. Grid convergence is discussed and it is s

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Evaluation of Resistance, Sinkage, Trim and Self-propulsion Predictions for KCS,cted FD fixed condition for self-propulsion and the participants who adopted actual propeller rotating simulation preferred rps fixed condition. The mean comparison errors of KT and KQ are 0.5 and ?3.5% respectively. The standard deviations are 2.7 and 2.4% respectively. Self-propulsion parameters a