Form Factor Prediction Based on Ship Model Test Data by Statistical Method

Abstract

Abstract The ship model resistance test is carried out on the towing tank with a certain scale to get the total resistance coefficient of the ship model. The value of the ship’s form factor is needed in extrapolation calculations to get the coefficient and total resistance value of a full-scale ship. The form factor can be obtained using the traditional method, namely testing the resistance of the ship model with a Froude Number between 0.1 – 0.2. This method is known as the Prohaska method. Another method or a more modern method is to use multiple linear regression statistics based on the ship model test. We used data from 41 displacement ship model tests conducted at the Hydrodynamics Technology Laboratory (LTH)-National Agency for Research & Innovation (BRIN). Data processing is done through statistical software using the OLS or Robust method which was previously done by transforming predictor variables to enlarge the variety of variables so that a good regression equation is obtained. The resulting form factor regression is a useful tool for predicting the ship’s Effective Power value.