NDLI: New relationship for estimation of wave overtopping on vertical walls

Content Provider	Springer Nature Link
Author	Eskandari, Hojjatollah Kamalian, Ulrich Reza
Copyright Year	2017
Abstract	Soft computing tools in the form of combination of multiple nonlinear regression and M5′ model tree were used for estimation of overtopping rate at the vertical coastal structures. For reliable and precise estimation of overtopping rate, the experimental data available in the database CLASH were used. The dimensionless overtopping rate was estimated in terms of conventional dimensionless parameters including the relative crest freeboard R $_{c}$/H $_{s}$, seabed slope tanθ, deep water wave steepness S $_{om}$, surf similarity ξ $_{om}$ and local relative water depth h $_{t}$/H $_{s}$. The accuracy of the new model was compared with other existing models and also evaluated with some field measurements. The results indicated that the model presented in this paper is more accurate than other existing models. With statistical parameters, it is shown that the accuracy of predictions in the new model is better than that of other models.
Starting Page	48
Ending Page	54
Page Count	7
File Format	PDF
ISSN	08905487
Journal	China Ocean Engineering
Volume Number	31
Issue Number	1
e-ISSN	21918945
Language	English
Publisher	Chinese Ocean Engineering Society
Publisher Date	2017-01-21
Publisher Place	Nanjing
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	CLASH database M5′ model tree wave overtopping vertical coastal structures multiple nonlinear regression Offshore Engineering Oceanography Coastal Sciences Fluid- and Aerodynamics Marine & Freshwater Sciences Numerical and Computational Physics, Simulation
Content Type	Text
Resource Type	Article
Subject	Oceanography Ocean Engineering Renewable Energy, Sustainability and the Environment Mechanical Engineering

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