Predicting the Effects of the Wind Load Direction to Naval Vessels Resistance
International Journal of Transportation Engineering and Technology
Volume 5, Issue 1, March 2019, Pages: 18-24
Received: Apr. 18, 2019;
Accepted: May 31, 2019;
Published: Jun. 18, 2019
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Nguyen Duc Hai, Mechanical Engineering Department, Sao Do University, Hai Duong, Viet Nam
Nguyen Ngoc Dam, Automobile Department, Sao Do University, Hai Duong, Viet Nam
Nguyen Vu Giang, Faculty of Human Sciences, Macquarie University, Sydney, Australia
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The influence of wind loads on the operation of naval vessels must be thoroughly considered in the design process. However, nowadays the evaluation studies on the influence of the wind loads on the naval vessels haven’t been adequately interested. These vessels have a windward section relatively large area, which affects the static and dynamic stability of the vessels as well as the cause affecting the ship resistance to fuel consumption. In particular, naval vessels usually operate at high speed, therefore, issue reviews the effect of the wind as well as the angle of the wind direction becomes more important. Thanks to the advancement of computer technology in the analysis of determining the impact of the wind become more quickly, which help reduces the time of testing and saving the cost for built models and allows for more accurate predicting. In this study, the CFD simulation method is applied in order to assess the effect of the wind direction to the resistance of naval vessels resistance in calm water conditions. From the achieved results, the captain made the right decision on the direction of the vessels to ensure maritime safety. Also from the CFD results, ship designers have plans to arrange equipment, as well as optimize resistance for these vessels.
Naval Vessels, Aerodynamic Drag, CFD Method, Ship’s Resistance, Air Resistance
To cite this article
Nguyen Duc Hai,
Nguyen Ngoc Dam,
Nguyen Vu Giang,
Predicting the Effects of the Wind Load Direction to Naval Vessels Resistance, International Journal of Transportation Engineering and Technology.
Vol. 5, No. 1,
2019, pp. 18-24.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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