A new approach to analyse the underwater vibration of double layer ribbed cylinder
A new approach to analyse the underwater vibration of double layer ribbed cylinder
Analyzing double layer ribbed cylinder’s underwater vibration is of great importance to the design and evaluation of vessels’ dynamic performance of operation and human comfort level. The two main traditional methods that are applied to solve this work are Flügge’s equations of motion and numerical method, such as FEM. Even though both methods have their own special advantages, complicated model developing process and comparative low accuracy (compared with data from real measurement) are their common drawbacks. In this paper, Neural Network is used to analyze the dynamic character of this double layer ribbed cylinder. Real measurement data are used to construct Neural Network, and after this Neural Network model is well built, comparison studies are processed between the vibration data of some positions of interest on the cylinder acquired from Neural Network and real test, respectively. The results show that Neural Network can be used to analyse the dynamic character of double layer ribbed cylinder and is of high accuracy and timesaving. The next step of this research will be concentrated on using more representative vibration data to develop Neural Network model.
978-1-315-68505-2
175-180
Wang, Fei
d74a565b-35c9-43af-95ba-06782f81a561
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Weng, Zhengping
efb60eb7-db31-46e9-9954-4df85e00b962
He, Lin
5ea3d9f4-89a0-4ec2-9ee5-87232c4279de
March 2015
Wang, Fei
d74a565b-35c9-43af-95ba-06782f81a561
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Weng, Zhengping
efb60eb7-db31-46e9-9954-4df85e00b962
He, Lin
5ea3d9f4-89a0-4ec2-9ee5-87232c4279de
Wang, Fei, Xiong, Yeping, Weng, Zhengping and He, Lin
(2015)
A new approach to analyse the underwater vibration of double layer ribbed cylinder.
In,
Guedes Soares, Carlos and Shenoi, R. Ajit
(eds.)
Analysis and Design of Marine Structures V.
Boca Raton.
CRC Press, .
(doi:10.1201/b18179-24).
Record type:
Book Section
Abstract
Analyzing double layer ribbed cylinder’s underwater vibration is of great importance to the design and evaluation of vessels’ dynamic performance of operation and human comfort level. The two main traditional methods that are applied to solve this work are Flügge’s equations of motion and numerical method, such as FEM. Even though both methods have their own special advantages, complicated model developing process and comparative low accuracy (compared with data from real measurement) are their common drawbacks. In this paper, Neural Network is used to analyze the dynamic character of this double layer ribbed cylinder. Real measurement data are used to construct Neural Network, and after this Neural Network model is well built, comparison studies are processed between the vibration data of some positions of interest on the cylinder acquired from Neural Network and real test, respectively. The results show that Neural Network can be used to analyse the dynamic character of double layer ribbed cylinder and is of high accuracy and timesaving. The next step of this research will be concentrated on using more representative vibration data to develop Neural Network model.
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More information
Published date: March 2015
Organisations:
Fluid Structure Interactions Group
Identifiers
Local EPrints ID: 386536
URI: http://eprints.soton.ac.uk/id/eprint/386536
ISBN: 978-1-315-68505-2
PURE UUID: 25799948-31eb-489e-8bc4-ce23791eb08e
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Date deposited: 02 Feb 2016 11:32
Last modified: 15 Mar 2024 03:06
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Contributors
Author:
Fei Wang
Author:
Zhengping Weng
Author:
Lin He
Editor:
Carlos Guedes Soares
Editor:
R. Ajit Shenoi
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