UPDATE OF THE EUROTOP NEURAL NETWORK TOOL: IMPROVED PREDICTION OF WAVE OVERTOPPING

Barbara Zanuttigh, Sara Mizar Formentin, Jentsje Wouter van der Meer

Abstract


The goal of this work is to present a synthesis of the improvements and updates developed to deliver the final version of the ANN tool adopted by the second edition of the wave overtopping manual, EurOtop, released on the internet in 2016. This tool consists of three identical but independent ANNs able to predict the main parameters representative of the wave-structure interaction processes, i.e. the mean wave overtopping discharge, the wave transmission and the wave reflection coefficients. The contribution focuses on the modifications of the ANN architecture carried out since the last ICCE conference to achieve an optimized representation of the wave overtopping, especially in case of low and extreme values of the overtopping discharge. The consistency of the ANN predictions is assessed through an artificial dataset including geometrical and climate input parameters that are varied with continuity, while the robustness of the tool is checked by applying the ANN to selected geometries excluded from the training database.

Keywords


artificial neural networks; wave overtopping; generalization; training; database; wave transmission; wave reflection

Full Text:

DOC

References


CLASH, 2004. Crest Level Assessment of coastal Structures by full scale monitoring, neural network prediction and Hazard analysis on permissible wave overtopping. EC-contract EVK3-CT-2001-00058. 〈www.clash-eu.org〉

EurOtop (2016) Manual on Wave Overtopping of Sea Defences and Related Structures. An Overtopping Manual Largely based on European Research, but for Worldwide Application, Allsop, N. W. H., Bruce, T., DeRouck, J., Kortenhaus, A., Pullen, T., Schüttrumpf, H., Troch, P., van der Meer, J. W. & Zanuttigh, B. , www.overtopping-manual.com

Formentin S.M., Zanuttigh B. & Van der Meer J.W. (2017). A neural network for predicting wave reflection, overtopping and transmission, Coastal Engineering Journal, 59, No. 2 (2017), 1750006, 31 pp.

Hagan, M.T., and Menhaj M. (1994). Training feed-forward networks with the Marquardt algorithm, IEEE Transactions on Neural Networks, 5(6), 989-993.

Marquardt, D. (1963). An algorithm for least-squares estimation of nonlinear parameters, SIAM Journal on Applied Mathematics 11 (2): 431–441. doi:10.1137/0111030.

Panizzo, A. & Briganti, R. (2007). Analysis of wave transmission behind low crested breakwaters using neural networks, Coastal Engineering 54, 643–656.

Van der Meer, J.W., Pullen, T., Allsop, N.W.H., Bruce, T., Schüttrumpf, H., Kortenhaus, A. (2009). In: Kim, Young C. (Ed.), Prediction of overtopping. Chapter 14 in Handbook of Coastal and Ocean Engineering. World Scientific, 341–382.

Van Doorslaer, K., De Rouck, J., Audenaert, S. & Duquet, V. (2015). Crest modifications to reduce wave overtopping of non-breaking waves over a smooth dike slope, Coastal Engineering, 101, 69–88, doi: 10.1016/j.coastaleng.2015.02.004.

Van Gent, M.R.A., van den Boogaard, H.F.P., Pozueta, B., Medina, J.R. (2007). Neural network modelling of wave overtopping at coastal structures. Coastal Engineering, 54, 586–593.

Verhaeghe, H., De Rouck, J. and Van der Meer, J.W. (2008). Combined classifier–quantifier model: a 2-phases neural model for prediction of wave overtopping at coastal structures. Coastal Engineering 55, 357–374.

Zanuttigh, B., Formentin, S.M. and Briganti R. (2013). A Neural Network for the prediction of wave reflection from coastal and harbor structures. Coastal Engineering 80, 49-67.

Zanuttigh B., Formentin S.M., & Van der Meer J.W. (2014). Advances in modelling wave-structure interaction through Artificial Neural Networks, Coastal Engineering Proceedings, 1(34), structures.69. doi: http://dx.doi.org/10.9753/icce.v34.structures.69.

Zanuttigh B., Formentin S.M., & Van der Meer J.W. (2016). Prediction of extreme and tolerable wave overtopping discharges through an advanced neural network, Ocean Engineering, 127, 7-22.




DOI: https://doi.org/10.9753/icce.v35.waves.2