Prediction of wave overtopping at vertical structures [PDF]
Prediction of wave overtopping rate is an important step in the functional design of vertical coastal structures. In this study, scaling arguments and data mining approaches were used to derive formulae for the prediction of wave overtopping rate at fully vertical and nearly vertical impermeable solid smooth structures.
Amir Etemad-Shahidi +2 more
openaire +4 more sources
Prediction of Mean Wave Overtopping Discharge Using Gradient Boosting Decision Trees [PDF]
Wave overtopping is an important design criterion for coastal structures such as dikes, breakwaters and promenades. Hence, the prediction of the expected wave overtopping discharge is an important research topic. Existing prediction tools consist of empirical overtopping formulae, machine learning techniques like neural networks, and numerical models ...
Joost P. den Bieman +3 more
openaire +5 more sources
Experimental measurement of focused wave group and solitary wave overtopping [PDF]
Prediction of individual wave overtopping events is important in assessing danger to life and property, but data are sparse and hydrodynamic understanding is lacking.
Borthwick, Alistair G. L. +3 more
core +3 more sources
Wave overtopping at berm breakwaters: Experimental study and development of prediction formula [PDF]
Abstract Prediction of overtopping rate plays a key role in the design and safety assessment of breakwater structures. In this study, the mean wave overtopping rate at hardly and partly reshaping berm breakwaters were investigated by means of small-scale physical model tests.
Pillai, Karthika +2 more
openaire +4 more sources
Prediction of extreme and tolerable wave overtopping discharges through an advanced neural network
Abstract This paper presents an Artificial Neural Network (ANN) to predict the wave overtopping discharge at coastal and harbour structures for a variety of wave conditions and complex geometries. The goal of this work is to provide a robust tool in both extreme and tolerable overtopping conditions, starting from the ANN recently developed by the ...
ZANUTTIGH, BARBARA +2 more
openaire +4 more sources
Wave Run-Up Prediction of Semi-Submersible Platforms Based on Long Short-Term Memory Network
Wave run-up and air-gap are key issues for the safety of semi-submersible platforms. Real-time wave run-up prediction is helpful to ensure the safety of offshore activities.
LI Yan, XIAO Longfei, WEI Handi, KOU Yufeng
doaj +1 more source
Predictions of Wave Overtopping Using Deep Learning Neural Networks
Deep learning techniques have revolutionized the field of artificial intelligence by enabling accurate predictions of complex natural scenarios. This paper proposes a novel convolutional neural network (CNN) model that involves deep learning technologies, such as the bottleneck residual block, layer normalization, and dropout layer, to predict wave ...
Yu-Ting Tsai, Ching-Piao Tsai
openaire +2 more sources
The south coast of Korea is vulnerable to coastal disasters, such as storm surges, high waves, wave overtopping, and coastal flooding caused by typhoons.
Jin-Hee Yuk, Ji-Sun Kang, Hunjoo Myung
doaj +1 more source
Physical Modelling of the Effect on the Wave Field of the WaveCat Wave Energy Converter
The WaveCat is a moored Wave Energy Converter design which uses wave overtopping discharge into a variable v-shaped hull, to generate electricity through low head turbines.
James Allen +3 more
doaj +1 more source
Dam break analysis using HEC-RAS and HEC-GeoRAS: A case study of Hidkal dam, Karnataka state, India
A dam is a structure constructed across river which stores water and supplies water for various purposes. Though the dams have many benefits, there is always a threat of dam break floods which are devastating in nature.
A Bharath +3 more
doaj +1 more source

