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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 10/2018

17.09.2016 | Original Article

Estimation of nearshore wave transmission for submerged breakwaters using a data-driven predictive model

verfasst von: Amir Sharif Ahmadian, Richard R. Simons

Erschienen in: Neural Computing and Applications | Ausgabe 10/2018

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Abstract

The functional design of submerged breakwaters is still developing, particularly with respect to modelling of the nearshore wave field behind the structure. This paper describes a method for predicting the wave transmission coefficients behind submerged breakwaters using machine learning algorithms. An artificial neural network using the radial-basis function approach has been designed and trained using laboratory experimental data expressed in terms of non-dimensional parameters. A wave transmission coefficient calculator is presented, based on the proposed radial-basis function model. Predictions obtained by the radial-basis function model were verified by experimental measurements for a two dimensional breakwater. Comparisons reveal good agreement with the experimental results and encouraging performance from the proposed model. Applying the proposed neural network model for predictions, guidance is given to appropriately calculate wave transmission coefficient behind two dimensional submerged breakwaters. It is concluded that the proposed predictive model offers potential as a design tool to predict wave transmission coefficients behind submerged breakwaters. A step-by-step procedure for practical applications is outlined in a user-friendly form with the intention of providing a simplified tool for preliminary design purposes. Results demonstrate the model’s potential to be extended to three dimensional, rough, permeable structures.
Vorheriger Artikel Analysis of magnetohydrodynamic flow and heat transfer of Cu–water nanofluid between parallel plates for different shapes of nanoparticles
Nächster Artikel The isolation layered optimization algorithm of MIMO polygonal fuzzy neural network

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Metadaten
Titel
Estimation of nearshore wave transmission for submerged breakwaters using a data-driven predictive model
verfasst von
Amir Sharif Ahmadian
Richard R. Simons
Publikationsdatum
17.09.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 10/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2587-y

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