MODELLING WAVE OVERTOPPING AND WAVE IMPACTS BY MEANS OF IMAGE CLUSTERING TECHNIQUES
ICCE 2022
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How to Cite

MODELLING WAVE OVERTOPPING AND WAVE IMPACTS BY MEANS OF IMAGE CLUSTERING TECHNIQUES. (2023). Coastal Engineering Proceedings, 37, structures.45. https://doi.org/10.9753/icce.v37.structures.45

Abstract

The experimental modelling of the wave-structure interaction processes is a very complicated issue, due to the highly non-linear turbulent flow conditions, including wave breaking and air entrainment (Stringari et al., 2021). Recently, Formentin et al. (2021) demonstrated that videography can provide a reliable representation of the wave breaking, of the wave overtopping and of the wave impact at walls. They filmed laboratory tests of wave overtopping at smooth dikes with crown walls (Formentin et al., 2018; Palma et al., 2020) with a low-cost full-HD camera and compared the results of the video-cluster analysis applied to its records with the measurements obtained through traditional techniques. They derived accurate quantitative estimations of free-surface elevation, wave overtopping discharge, volumes, velocities and celerities. The aim of this paper is to further investigate the possibilities of the videography by focusing on the analysis of the wave impacts at the walls and on the detection of the amount of air entrapped during the impacts themselves.
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References

Formentin and Zanuttigh (2018). A new and fully automatic procedure for the identification and coupling of the overtopping events, Proc. of XXXVI International Conference on Coastal Engineering, Baltimore (Ma).

Formentin, Gaeta, De Vecchis, Guerrero and Zanuttigh (2021). Image-clustering analysis of the wave-structure interaction processes under breaking and non-breaking waves, Physics of Fluids, 33, 105121.

Palma, Formentin and Zanuttigh (2020). Analysis of the impact process at dikes with crown walls and parapets, Proceedings of virtual Conference on Coastal Engineering, 36(2020).

Stringari, Veras Guimaraes, Filipot, Leckler and Duarte (2021). Deep neural networks for active wave breaking classification, Sci. Rep. 11, 3604.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2023 Sara Mizar Formentin, Elisa Dallavalle, Barbara Zanuttigh