Research Article | OPEN ACCESS
A New Method for Accurate Prediction of Ship's Inertial Stopping Distance
1, 2Langxiong Gan, 2Liangming Li, 2, 3Yuangzhou Zheng and 4Baogang Zhang
1School of Naval Architecture, Ocean and Civil Engineering,
Shanghai Jiao Tong University, Shanghai 200240, China
2School of Navigation
3School of Transportation, Wuhan University of Technology, Wuhan 430063, China
4Shanghai Maritime Safety Administration, Shanghai 200086, China
Research Journal of Applied Sciences, Engineering and Technology 2013 18:3437-3440
Received: January 21, 2013 | Accepted: February 18, 2013 | Published: October 10, 2013
Abstract
This study aims to research the prediction of ship’s inertial stopping distance. Accurate prediction of a ship’s inertial stopping distance helps the duty officers to make the collision avoidance decisions effectively. In this study ship’s inertial stopping distance is calculated using the ALE (Arbitrary Lagrangian Eulerian) algorithm implemented in the FLUENT code. Firstly, a method for predicting the inertial stopping distance of a floating body based on the FLUENT code is established. Then, the results calculated by the method are compared with those obtained from the empirical formulae and the physical model tests. The comparison result indicates that the proposed method is robust and can be used effectively to predict the ship’s inertial stopping distance.
Keywords:
ALE algorithm, fluent implementation, inertial stopping distance, topley model,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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