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Published: Dec. 12, 2024
Language: Английский
Water Research, Journal Year: 2024, Volume and Issue: 272, P. 122961 - 122961
Published: Dec. 12, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 174179 - 174179
Published: June 24, 2024
Language: Английский
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Published: Jan. 12, 2025
Language: Английский
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Published: Jan. 18, 2025
Language: Английский
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Published: March 5, 2025
Language: Английский
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Published: Oct. 10, 2024
Language: Английский
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Published: May 16, 2024
Language: Английский
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Published: June 27, 2024
Language: Английский
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Published: Jan. 24, 2025
Language: Английский
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0Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 488, P. 137451 - 137451
Published: Jan. 30, 2025
Language: Английский
Citations
0Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(2)
Published: Feb. 1, 2025
Spillway and drainage tunnels have an open-channel flow pattern when operating under unpressured condition, above which air is driven resisted by water flow, wall friction, pressure difference. Unpressured present many airflow-related safety environmental issues, including fluctuation, gate vibration, shaft cover blow-off, odor emission; therefore, it valuable to study predict their airflow velocity. Given the difficulty in accurate prediction of velocity complicated influences hydraulic, structural, boundary parameters, this focuses on establishing high-performance models understanding importance independent coupled each parameter using machine learning. It found that Froude number, ratio free-surface width unwetted perimeter, relative ventilation area, tunnel length are four key parameters. By these parameters input combination, learning can well tunnels, achieving significantly higher performance than existing empirical theoretical models. Among models, built Random Forest XGBoost demonstrate best with R2 ≥ 0.911. The interpretability analysis reveals highest number increases generally result enhancement plays a dominant role ≤11.5, continuous increase exhibits marginal effect. area close importances, either promoting To help researchers engineers unfamiliar easily accurately GPlearn algorithm employed establish explicit expressions, validated good 0.900.
Language: Английский
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0