Abstract

Resistance test is a classical method used to study ship performance. In this study, the uncertainty of large-scale ship model resistance test in actual seas is analyzed. Considering the difference between these trials and traditional test in towing tanks, this study first uses the ITTC 2014 procedure based on GUM to calculate the systematic error in the test. The parameters that affect the test accuracy are also estimated. Then, the program based on the Monte Carlo method is verified, and the differences between the two methods are compared. In this study, the uncertainty sources in the test are quantitatively analyzed, and the results will be helpful for improving the ship model test scheme in actual seas.

Highlights

  • The resistance test of a ship model in actual seas is conducted using a ship model with a large-scale ratio in a natural water environment

  • 4.1.1 Factors affecting the test Referring to the towing tank test procedure recommended by ITTC, the uncertainty sources of resistance test can be divided into the following five parts. − The uncertainty of the geometric shape of the model mainly arises from the errors produced in the manufacturing process of the ship model, which are mainly caused by the machining accuracy of the workshop

  • With the improvements in accuracy of electronic instruments, the uncertainty of calibration is negligible for the level of this test. − The data to be tested in the resistance test include speed, water temperature, resistance, trim, and sinkage

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Summary

Introduction

The resistance test of a ship model in actual seas is conducted using a ship model with a large-scale ratio in a natural water environment. In the course of the experiment, because of the influence of instrument accuracy, data acquisition method, and the environment, it is difficult to obtain true values of the measured physical quantities. In this case, the error range of the test results must be estimated, and uncertainty analysis must be conducted for quantitative analysis in the measurement test. The uncertainty analysis process of single and multiple tests is shown by a simple hydrodynamics experiment They believed that the benefits of uncertainty assessment in risk far overweigh any actual or perceived time saved in foregoing making estimates

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