Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning

Hydraulic Performance Modeling of Inclined Double Cutoff Walls Beneath Hydraulic Structures Using Optimized Ensemble Machine Learning

Abstract This study investigates the effectiveness of inclined double cutoff walls installed beneath hydraulic structures by employing five machine learning models: Random Forest (RF), Adaptive Boosting (AdaBoost), eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and...

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Bibliographic Details
Main Authors: Mohamed Kamel Elshaarawy, Martina Zeleňáková, Asaad M. Armanuos
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Hydraulic structure design
Cutoff walls
Machine learning models
Uplift force control
Seepage discharge prediction
Feature importance analysis
Online Access:https://doi.org/10.1038/s41598-025-10990-3
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https://doi.org/10.1038/s41598-025-10990-3

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