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http://dx.doi.org/10.3744/SNAK.2019.56.5.447

Prediction of Residual Resistance Coefficient of Low-speed Full Ships using Hull Form Variables and Model Test Results  

Kim, Yoo-Chul (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Kim, Myung-Soo (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Yang, Kyung-Kyu (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Lee, Young-Yeon (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Yim, Geun-Tae (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Kim, Jin (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Hwang, Seung-Hyun (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Kim, JungJoong (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Kim, Kwang-Soo (Korea Research Institute of Ships and Ocean Engineering (KRISO))
Publication Information
Journal of the Society of Naval Architects of Korea / v.56, no.5, 2019 , pp. 447-456 More about this Journal
Abstract
In the early stage of ship design, the rapid prediction of resistance of hull forms is required. Although there are more accurate prediction methods such as model test and CFD analysis, statistical methods are still widely used because of their cost-effectiveness and quickness in producing the results. This study suggests the prediction formula for the residual resistance coefficient (Cr) of the low-speed full ships. The formula was derived from the statistical analysis of model test results in KRISO database. In order to improve prediction accuracy, the local variables of hull forms are defined and used for the regression process. The regression formula for these variables using only principal dimensions of hull forms are also provided.
Keywords
Cr prediction; Low-speed full ship; Regression; Hull form variables;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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