Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method

In this study, the optimal design of a mooring system was carried out. Unlike almost all design methods, which are based on the deterministic method, this study focused on the probabilistic method. The probabilistic method, especially the design of experiment (DOE), could be a good way to cover some...

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Main Authors: Soo-Won Kang, Seung-Jae Lee
Format: Article
Language:English
Published: The Korean Society of Ocean Engineers 2018-08-01
Series:한국해양공학회지
Subjects:
Online Access:https://doi.org/10.26748/KSOE.2018.6.32.4.215
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spelling doaj-4a8f4bd6e0f544eabb2d3565a85987a42020-11-25T03:02:38ZengThe Korean Society of Ocean Engineers한국해양공학회지1225-07672287-67152018-08-01324215221https://doi.org/10.26748/KSOE.2018.6.32.4.215Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method Soo-Won Kang0Seung-Jae Lee 1Korea Maritime and Ocean UniversityKorea Maritime and Ocean UniversityIn this study, the optimal design of a mooring system was carried out. Unlike almost all design methods, which are based on the deterministic method, this study focused on the probabilistic method. The probabilistic method, especially the design of experiment (DOE), could be a good way to cover some of the drawbacks of the deterministic approach. There various parameters for a mooring system, as widely known, including the weight, length, and stiffness of line. Scenarios for the mooring system parameters were produced using the Latin Hypercube Sampling method of the probabilistic approach. Next, a vessel-mooring system coupled analysis was performed in Orcaflex. A total of 50 scenarios were used in this study to optimize the initial design by means of a genetic algorithm. Finally, after determining the optimal process, a reliability analysis was performed to understand the system validity. https://doi.org/10.26748/KSOE.2018.6.32.4.215Mooring systemMooring tensionDesign of experimentReliability analysis
collection DOAJ
language English
format Article
sources DOAJ
author Soo-Won Kang
Seung-Jae Lee
spellingShingle Soo-Won Kang
Seung-Jae Lee
Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
한국해양공학회지
Mooring system
Mooring tension
Design of experiment
Reliability analysis
author_facet Soo-Won Kang
Seung-Jae Lee
author_sort Soo-Won Kang
title Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
title_short Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
title_full Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
title_fullStr Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
title_full_unstemmed Study on Optimization of Design Parameters for Offshore Mooring System using Sampling Method
title_sort study on optimization of design parameters for offshore mooring system using sampling method
publisher The Korean Society of Ocean Engineers
series 한국해양공학회지
issn 1225-0767
2287-6715
publishDate 2018-08-01
description In this study, the optimal design of a mooring system was carried out. Unlike almost all design methods, which are based on the deterministic method, this study focused on the probabilistic method. The probabilistic method, especially the design of experiment (DOE), could be a good way to cover some of the drawbacks of the deterministic approach. There various parameters for a mooring system, as widely known, including the weight, length, and stiffness of line. Scenarios for the mooring system parameters were produced using the Latin Hypercube Sampling method of the probabilistic approach. Next, a vessel-mooring system coupled analysis was performed in Orcaflex. A total of 50 scenarios were used in this study to optimize the initial design by means of a genetic algorithm. Finally, after determining the optimal process, a reliability analysis was performed to understand the system validity.
topic Mooring system
Mooring tension
Design of experiment
Reliability analysis
url https://doi.org/10.26748/KSOE.2018.6.32.4.215
work_keys_str_mv AT soowonkang studyonoptimizationofdesignparametersforoffshoremooringsystemusingsamplingmethod
AT seungjaelee studyonoptimizationofdesignparametersforoffshoremooringsystemusingsamplingmethod
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