Data-driven modeling of sluice gate flows using a convolutional neural network

Data-driven modeling of sluice gate flows using a convolutional neural network

Predicting the flow field around sluice gates is essential for controlling water levels and discharges in open channels and rivers. Smooth particle hydrodynamics (SPH) models can satisfactorily reproduce such free-surface flows, but they typically require long computational time and extensive comput...

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Bibliographic Details
Main Authors: Xiaohui Yan, Yan Wang, Boyuan Fan, Abdolmajid Mohammadian, Jianwei Liu, Zuhao Zhu
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Hydroinformatics
Subjects:
convolutional neural network
flow field
machine learning
sluice gate
smooth particle hydrodynamics
Online Access:http://jhydro.iwaponline.com/content/25/5/1629

Internet

http://jhydro.iwaponline.com/content/25/5/1629

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