TY - JOUR
T1 - Form Factor Prediction Based on Ship Model Test Data by Statistical Method
AU - Widodo,
AU - Santoso, Agoes
AU - Erwandi,
AU - Baidowi, Achmad
N1 - Publisher Copyright:
© 2022 Institute of Physics Publishing. All rights reserved.
PY - 2022/9/23
Y1 - 2022/9/23
N2 - The ship model resistance test is carned 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.
AB - The ship model resistance test is carned 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.
UR - http://www.scopus.com/inward/record.url?scp=85142218325&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/1081/1/012017
DO - 10.1088/1755-1315/1081/1/012017
M3 - Conference article
AN - SCOPUS:85142218325
SN - 1755-1307
VL - 1081
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012017
T2 - 3rd Maritime Safety International Conference, MASTIC 2022
Y2 - 15 July 2022 through 17 July 2022
ER -