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Predicting Max Scour Depths near Two-Pier Groups Using Ensemble Machine-Learning Models and Visualizing Feature Importance with Partial Dependence Plots and SHAP
Publisher: American Society of Civil Engineers
Abstract: Assessing scour depth (Sd) near side-by-side, tandem, and eccentric bridge piers is crucial for designing resilient structures. Researchers employed soft computing techniques to enhance Sd prediction models, focusing on ...
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