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Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method
Joint Authors
Mao, Zhaoyong
Tian, Wenlong
Zhao, Fuliang
Zhao, Zhicao
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper presents an optimization method for the design of the layout of an autonomous underwater vehicles (AUV) fleet to minimize the drag force.
The layout of the AUV fleet is defined by two nondimensional parameters.
Firstly, three-dimensional computational fluid dynamics (CFD) simulations are performed on the fleets with different layout parameters and detailed information on the hydrodynamic forces and flow structures around the AUVs is obtained.
Then, based on the CFD data, a back-propagation neural network (BPNN) method is used to describe the relationship between the layout parameters and the drag of the fleet.
Finally, a genetic algorithm (GA) is chosen to obtain the optimal layout parameters which correspond to the minimum drag.
The optimization results show that (1) the total drag of the AUV fleet can be reduced by 12% when the follower AUV is located directly behind the leader AUV and (2) the drag of the follower AUV can be reduced by 66% when it is by the side of the leader AUV.
American Psychological Association (APA)
Tian, Wenlong& Mao, Zhaoyong& Zhao, Fuliang& Zhao, Zhicao. 2017. Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method. Complexity،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1143118
Modern Language Association (MLA)
Tian, Wenlong…[et al.]. Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method. Complexity No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1143118
American Medical Association (AMA)
Tian, Wenlong& Mao, Zhaoyong& Zhao, Fuliang& Zhao, Zhicao. Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method. Complexity. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1143118
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143118