선형변수 및 모형시험결과 데이터베이스를 활용한 저속비대선의 잉여저항계수 추정

• Published in: 大韓造船學會 論文集 Vol. 56; no. 5; pp. 447 - 456
• Main Authors: 김유철(Yoo-Chul Kim), 김명수(Myung-Soo Kim), 양경규(Kyung-Kyu Yang), 이영연(Young-Yeon Lee), 임근태(Geun-Tae Yim), 김진(Jin Kim), 황승현(Seung-Hyun Hwang), 김정중(JungJoong Kim), 김광수(Kwang-Soo Kim)
• Format: Journal Article
• Language: Korean
• Published: 대한조선학회 2019
• Subjects: 조선공학; Low-speed full ship(저속비대선); Regression(회귀분석); Cr prediction(잉여저항계수 추정); Hull form variables(선형변수)
• ISSN: 1225-1143; 2287-7355
• DOI: 10.3744/SNAK.2019.56.5.447

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.