Record Details

Derivation of wave spectrum using data driven methods

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Derivation of wave spectrum using data driven methods
 
Creator SAKHARE, S
DEO, MC
 
Subject support vector machines
m5 model trees
neural-networks
prediction
discharge
support vector regression
model trees
wave spectra
wave measurements
 
Description The current techniques of derivation of a wave spectrum from given values of design wave parameters, like significant wave height and average wave period, are fraught with considerable uncertainties. This leaves scope for alternative approaches. The reported work proposes potential applications of two recent data driven methods, namely support vector regression (SVR) and model tree (MT), to obtain the wave spectra. In the present study the above tools were used to estimate wave spectra at two locations: no. 44008 maintained by National Data Buoy Centre (NDBC) in the Gulf of Maine, USA and 'DS5' monitored by National Institute of Ocean Technology (NIOT) in Bay of Bengal, India. The choice of these two locations facilitated the comparison of model performances in different geographical areas. The SVR and MT models were developed in order to estimate the wave surface spectral density over a wide range of wave frequencies out of average wave parameters of significant wave height and average zero-cross wave period. The models were trained and tested using randomly selected sea states. Both MT and SVR were able to derive the spectral shapes satisfactorily as reflected in high values of the correlation coefficients and low values of root mean square error and mean square error. (C) 2009
 
Publisher ELSEVIER SCI LTD
 
Date 2011-07-21T23:43:37Z
2011-12-26T12:52:13Z
2011-12-27T05:39:17Z
2011-07-21T23:43:37Z
2011-12-26T12:52:13Z
2011-12-27T05:39:17Z
2009
 
Type Article
 
Identifier MARINE STRUCTURES, 22(3), 594-609
0951-8339
http://dx.doi.org/10.1016/j.marstruc.2008.12.004
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6035
http://hdl.handle.net/10054/6035
 
Language en