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

Xiaonan Tang*, Prateek Singh, Yutong Guan

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 39th IAHR World Congress (Granada, 2022)
EditorsMiguel Ortega-Sánchez
PublisherInternational Association for Hydro-Environment Engineering and Research (IAHR)
Pages6987-6993
Number of pages7
ISBN (Print)978-90-832612-1-8
DOIs
Publication statusPublished - Jun 2022
Event39th IAHR World Congress, 2022 - Granada, Spain
Duration: 19 Jun 202224 Jun 2022

Publication series

NameProceedings of the IAHR World Congress
ISSN (Print)2521-7119
ISSN (Electronic)2521-716X

Conference

Conference39th IAHR World Congress, 2022
Country/TerritorySpain
CityGranada
Period19/06/2224/06/22

Keywords

  • Apparent shear force
  • Compound channel flow
  • Genetic programming
  • Rough flood plain
  • Urban compound channel

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