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Prediction of wave reflection for quarter circle breakwaters using soft computing techniques

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Title Prediction of wave reflection for quarter circle breakwaters using soft computing techniques
 
Creator Ramesh, N
Bhaskaran, S
Rao, Subba
 
Subject Artificial neural network
Quarter circle breakwater
Wave reflection
 
Description 511-516
The modified form of the semi-circular breakwater is called Quarter-Circle Breakwater (QBW). It consists of a quartercircular
surface facing incident waves, a horizontal bottom, a rear wall, and is built on a rubble mound foundation. In
general, QCB may be constructed as emerged, with and without perforations that may be on one side or either side based on
the coastal designer. These perforations dissipate the energy due to the formation of eddies and turbulence created inside the
hollow chamber. In the present study, experimental data obtained from Binumol, 2017 are fed as input to both the models.
This data is used to predict the reflection coefficient of QBW by adopting the ANN system approach. The reliability of the
Artificial Neural Network (ANN) approach is done with statistical parameters, namely Model Performance Analysis (MPA)
viz., Correlation Coefficient (CC), Root Mean Square Error (RMSE), Nash-Sutcliffe Efficiency (NSE), and Scatter Index
(SI). The results of the MPA indicate that the ANN is suited for predicting the reflection coefficient of QBW.
 
Date 2022-08-31T05:17:12Z
2022-08-31T05:17:12Z
2022-09
 
Type Article
 
Identifier 2582-6727 (Online); 2582-6506 (Print)
http://nopr.niscpr.res.in/handle/123456789/60419
https://doi.org/10.56042/ijms.v51i06.38731
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source IJMS Vol.51(06) [JUNE 2022]