Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Analysis and Research of Mooring System

Authors
Jiahui Fan
Corresponding Author
Jiahui Fan
Available Online July 2016.
DOI
https://doi.org/10.2991/iccia-17.2017.127How to use a DOI?
Keywords
Mooring system, analytic hierarchy process, multi-objective genetic algorithm.
Abstract
In this paper, the original mooring system is optimized and improved under the condition of considering the water flow and water depth . The whole system is divided into a buoy system and a mooring system. For the buoy system, the moment of gravity of the buoy at the mean sea level is analyzed. For mooring system, the anchor cable will appear elastic deformation under the action of water flow force. So the particle spring model is constructed to analyze the force of the catenary segment. Then the new wind speed critical value is obtained. Thus, the state of existence of the chain is determined. A general optimization index is set up. And the optimal solution of the optimization index is calculated according to the multi-objective genetic algorithm. Thus the design of mooring system is completed.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-17.2017.127How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiahui Fan
PY  - 2016/07
DA  - 2016/07
TI  - Analysis and Research of Mooring System
BT  - 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 732
EP  - 736
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.127
DO  - https://doi.org/10.2991/iccia-17.2017.127
ID  - Fan2016/07
ER  -