New dynamic data-driven model for predicting the apparent shear force and discharge of compound channels



Tang, Xiaonan ORCID: 0000-0002-2434-9341, Singh, Prateek and Guan, Yutong
(2022) New dynamic data-driven model for predicting the apparent shear force and discharge of compound channels. In: Proceedings of the 39th IAHR World Congress From Snow to Sea, 2022-6-19 - 2022-6-24, Granada, Spain.

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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.

Item Type: Conference or Workshop Item (Unspecified)
Depositing User: Symplectic Admin
Date Deposited: 09 Sep 2022 08:02
Last Modified: 18 Jan 2023 20:45
DOI: 10.3850/iahr-39wc252171192022708
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3163916