Assessment Of Wave Overtopping Discharge at Quarter Circle Breakwater Using Soft Computing Techniques

Abstract

The precise prediction of wave overtopping (WO) discharge is crucial for the design of coastal protection structures, particularly in light of the challenges posed by climate change. This study focuses on a quarter-circle breakwater (QBW) comprising a vertical back wall, a horizontal base slab on a rubble mound foundation, and a quarter-circle front wall facing incident waves. Utilizing Support Vector Machine (SVM) and Least Square Support Vector Machine (LSSVM), the research aims to estimate the mean overtopping discharge at the QBW. Input parameters, including incident wave steepness (H_i/gT²), depth parameter (d/gT²), percentage of perforations (p), and crest height parameter (R_c/H_i), are employed, with mean overtopping discharge (q/gH_iT) as the output. Model performance is assessed using indicators such as Root Mean Square Error (RMSE), Correlation Coefficient (CC), Scatter Index (SI), and Index of Agreement (d). Results suggest that both SVM and LSSVM are effective in estimating mean overtopping discharge, with LSSVM demonstrating superior accuracy compared to SVM. The study findings contribute valuable insights for coastal engineering, particularly in designing structures resilient to wave overtopping amid ongoing climate change effects.