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New Dynamic Data-Driven Model for Predicting the Apparent Shear Force and Discharge of Compound Channels

Author(s): Xiaonan Tang; Prateek Singh; Yutong Guan

Linked Author(s): Xiaonan Tang, Prateek Singh, Yutong Guan

Keywords: Unban compound channel; Apparent shear; Compound channel flow; Machine learning; Genetic programming

Abstract: In this paper, based on the concept of apparent shear, a new dynamic model for apparent shear force is obtained using a genetic algorithm program, a well-documented machine-learning software, which can examine the existing relationship among the variables and explore the influencing factors. It was found that a unified relationship exists between apparent shear force and the variables of ratios of area, height, width, and roughness. The obtained formula of interfacial apparent shear force can predict the flow discharge of compound channels, either zonal or total discharge. This study shows that the predicted flow using the new model agrees well with the data from the literature. This newly derived model for apparent shear force has a single expression for both smooth and roughened compound channels, which provides a simple and easy-use formula for engineers to apply for wide applications.

DOI: https://doi.org/10.3850/IAHR-39WC252171192022708

Year: 2022

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