Estimation of extreme roll motion of ships for voyage optimization

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master_Altintas_Ekin_2024.pdf (13.04 MB)

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Insinööritieteiden korkeakoulu | Master's thesis
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Date

2024-08-19

Department

Major/Subject

Ocean Structures

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Degree programme

Nordic Master Programme in Maritime Engineering

Language

en

Pages

95+40

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Abstract

This master’s thesis investigates the suitability of the 1 Degree of Freedom (DOF) NAPA Method for predicting parametric roll resonance and its potential use within a voyage optimization tool. The study addresses the 1-DOF method's accuracy in predicting parametric rolling and its level of conservativeness by comparing its results with those from the Direct Stability Assessment (DSA) Method, which is based on the LAIDYN numerical approach. In the first part of the study, a comprehensive validation of the DSA Method is conducted using benchmark data from the C11 and KRISO Container Ship (KCS) hull forms. The second part involves a case study on the Duisburg Test Case (DTC) hull form under the MAERSK ESSEN loading and operational conditions, applying both the 1-DOF NAPA Method and the DSA Method. The results are compared to evaluate the reliability of the 1-DOF NAPA Method in predicting parametric roll resonance and its effectiveness for voyage optimization. The findings demonstrate that the 1-DOF NAPA Method can accurately predict the occurrence of parametric rolling and can be utilized to avoid extreme roll motions due to parametric roll resonance. Utilizing the 1-DOF NAPA method as a voyage optimization tool can prevent potential container losses, offering significant economic and environmental advantages. Furthermore, it can be an important tool for improving overall maritime safety.

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Supervisor

Manderbacka, Teemu

Thesis advisor

Mikkola, Tommi
Kristiansen, David

Keywords

parametric roll resonance, direct stability assessment, simplified operational guidance, SGISC, roll damping, voyage optimization

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https://urn.fi/URN:NBN:fi:aalto-202409016102

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[dipl] Insinööritieteiden korkeakoulu / ENG