Neural network modelling of wave overtopping at coastal structures

[EN] A method has been developed to estimate wave overtopping discharges for a wide range of coastal structures. The prediction method is based on Neural Network modelling. For this purpose use is made of a data set obtained from a large number of physical model tests (collected within the framework of the European project CLASH, see e.g. [Steendarn, G.J., Van der Meer, J.W., Verhaeghe, H., Besley, P., Franco, L. and Van Gent, MKA. (2004). The international database on wave overtopping. World Scientific, Proc. 29th ICCE, vol. 4, pp. 4301-4313, Lisbon, Portugal.]). Moreover, a method was developed to obtain confidence intervals for the overtopping predictions of the neural network.This study was co-sponsored by the Commission of the European Communities within the framework of the CLASH project (‘Crest Level Assessment of Coastal Structures by fullscale monitoring, neural network prediction and Hazard analysis on permissible wave overtopping’, contract EVK3–2001–00058).Van Gent, MRA.; Van Den Boogaard, HFP.; Pozueta, B.; Medina, JR. (2007). Neural network modelling of wave overtopping at coastal structures. Coastal Engineering. 54(8):586-593. https://doi.org/10.1016/j.coastaleng.2006.12.00158659354