Derivation of a New Model for Prediction of Wave Overtopping at Rubble Mound Structures
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 138, Issue 1
Abstract
Prediction of wave overtopping is a key task in the design and safety assessment of coastal structures. In this study, M5′ model tree as a new soft-computing approach was used to develop a model for the prediction of the wave overtopping rate at rubble mound breakwaters. The main advantages of model trees are that they are easier to deploy and more importantly, they produce understandable formulas. Selected data from the CLASH database were used for training of the model, and the conventional governing parameters were used as the input parameters. The obtained results were also compared with those of previous models. The accuracy of the model was evaluated by statistical measures, and it was shown that the developed model is more accurate than previous models. Furthermore, the model was validated with the prototype overtopping measurements in three sites. Results indicated that the developed model outperforms the previous models in predicting the full scale overtopping rates as well.
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Acknowledgments
The authors would like to acknowledge the organizers of EC-project CLASH for their comprehensive and freely available database on the wave overtopping phenomenon. The authors are also grateful to Professor Marcel Van Gent and Mr. Jan Kramer for providing access to their ANN model. In addition, the authors thank Reza Yasa and Lisham Bonakdar for their help in improving the manuscript. This work was partly supported by the Deputy of Research, Iran University of Science and Technology.
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Information & Authors
Information
Published In
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 138 • Issue 1 • January 2012
Pages: 42 - 52
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Mar 15, 2010
Accepted: Apr 28, 2011
Published online: Dec 15, 2011
Published in print: Jan 1, 2012
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