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RISOptimizing Venturi Flume Design for Sustainable Water Management: Bridging Flow Accuracy and Aeration Efficiency through Experimental and Machine-Learning Approaches
Publisher: American Society of Civil Engineers
Abstract: AbstractThis study introduces a machine learning (ML) framework to optimize Venturi flume
design for improved aeration efficiency (E20) and discharge coefficient (Cd) for sustainable water management. Six flume geometries: ...
Optimizing Aeration Efficiency Prediction in High-Head Sluice-Gated Conduits: Data-Driven Sensitivity and Uncertainty Analysis
Publisher: American Society of Civil Engineers
Abstract: AbstractThis research investigates aeration efficiency AE20 in high-head sluice-gated conduits, focusing on conduit structure/flow characteristics.
The study incorporates dimensional variables such as the aspect ratio (α), ...