Analysis of wave directional spreading using neural networks
DSpace at IIT Bombay
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Title |
Analysis of wave directional spreading using neural networks
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Creator |
DEO, MC
GONDANE, DS KUMAR, VS |
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Subject |
spectrum
pitch buoy neural networks wave energy wave dispersion |
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Description |
The short-term directional spreading of wave energy at a given location is popularly modeled with the help of the Cosine Power model. This model is oriented mainly around value of the spreading parameter involved in its expression. This paper describes how a representative spreading parameter could be arrived at from easily available wave parameters such as significant wave height and average zero-cross wave period, using the technique of neural networks. It is shown that training of the network with the help of observed directional wave (e.g., heave-pith-roll buoy) data could be used to establish dependency of the spreading parameter on more commonly available unidirectional wave parameters derived from, for example, pressure gauge data. It is found that such a procedure involving neural networks is much more accurate and reliable than the conventional approach based on statistical linear regression.
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Publisher |
ASCE-AMER SOC CIVIL ENGINEERS
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Date |
2011-07-18T10:47:39Z
2011-12-26T12:50:34Z 2011-12-27T05:36:01Z 2011-07-18T10:47:39Z 2011-12-26T12:50:34Z 2011-12-27T05:36:01Z 2002 |
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Type |
Article
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Identifier |
JOURNAL OF WATERWAY PORT COASTAL AND OCEAN ENGINEERING-ASCE, 128(1), 30-37
0733-950X http://dx.doi.org/10.1061/(ASCE)0733-950X(2002)128:1(30) http://dspace.library.iitb.ac.in/xmlui/handle/10054/4886 http://hdl.handle.net/10054/4886 |
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Language |
en
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