Derivation of a New Model for Prediction of Wave Overtopping at Rubble Mound Structures

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Author(s)
Jafari, Ebrahim
Etemad-Shahidi, Amir
Griffith University Author(s)
Year published
2012
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Show full item recordAbstract
Prediction of wave overtopping is a key task in the design and safety assessment of coastal structures. In this study, M5䠭odel tree as a new soft computing approach was used to develop a model for prediction of 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. The 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 ...
View more >Prediction of wave overtopping is a key task in the design and safety assessment of coastal structures. In this study, M5䠭odel tree as a new soft computing approach was used to develop a model for prediction of 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. The 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.
View less >
View more >Prediction of wave overtopping is a key task in the design and safety assessment of coastal structures. In this study, M5䠭odel tree as a new soft computing approach was used to develop a model for prediction of 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. The 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.
View less >
Journal Title
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume
138
Issue
1
Copyright Statement
© 2012 American Society of Civil Engineers (ASCE). This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Subject
Geology
Civil engineering
Maritime engineering
Ocean engineering