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Estimation of wave spectral shapes using ANN

DSpace at IIT Bombay

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Field Value
 
Title Estimation of wave spectral shapes using ANN
 
Creator NAITHANI, REENA
DEO, MC
 
Subject computer simulation
statistical methods
neural networks
structural design
 
Description Representation of surface spectral density against various frequencies of ocean waves has applications in structural design, laboratory wave simulations and coastal wave modeling. Estimation of such a wave spectrum is currently made with the help of empirical relations, like, Pierson–Muskowitz and JONSWAP. These relationships were proposed using statistical curve fitting to observed data. This paper attempts to provide an alternative to such empirical theoretical spectra in the form of neural networks. Networks were developed in order to estimate shapes of the wave spectra out of the given values of representative wave height, period, spectral width and peakedeness parameter. The data collected by wave rider buoys, deployed at stations off the US as well as the Indian coast have been analyzed. The neural network-based spectral estimations were found to be more close to the ‘true’ spectra than the traditional empirical ones. It is argued that they may be used instead as substitute.
 
Publisher Elsevier
 
Date 2009-03-20T05:59:32Z
2011-11-25T19:54:54Z
2011-12-26T13:08:01Z
2011-12-27T05:56:01Z
2009-03-20T05:59:32Z
2011-11-25T19:54:54Z
2011-12-26T13:08:01Z
2011-12-27T05:56:01Z
2005
 
Type Article
 
Identifier Advances in Engineering Software 36(11-12), 750-756
0965-9978
http://dx.doi.org/10.1016/j.advengsoft.2005.03.021
http://hdl.handle.net/10054/1037
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1037
 
Language en