Layout Optimization of Two Autonomous Underwater Vehicles for Drag Reduction with a Combined CFD and Neural Network Method
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...
Saved in:
Main Authors: | Wenlong Tian, Zhaoyong Mao, Fuliang Zhao, Zhicao Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2017-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2017/5769794 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Neural Network Predictive Control for Autonomous Underwater Vehicle with Input Delay
by: Jiemei Zhao
Published: (2018-01-01) -
Mechanism of Drag Reduction in Floating Plate of Paddy Field Based on CFD
by: Xiaoze Yu, et al.
Published: (2020-01-01) -
Retracted: Mechanism of Drag Reduction in Floating Plate of Paddy Field Based on CFD
by: null Complexity
Published: (2023-01-01) -
Research on the Heat Dissipation Characteristics of Lithium Battery Spatial Layout in an AUV
by: Zhaoyong Mao, et al.
Published: (2016-01-01) -
An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles
by: Jinchao Zhao, et al.
Published: (2025-01-01)