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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The Korean Society of Ocean Engineers
2018-08-01
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Online Access: | https://doi.org/10.26748/KSOE.2018.6.32.4.215 |
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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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1724689302135242752 |