Machine learning and parametrisation of multi-cell structures of secondary circulation in a tight open channel bend using LES
Author:
Affiliation:
1. University of Ottawa, Ottawa, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Canadian Foundation for Innovation
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/19942060.2024.2302559
Reference40 articles.
1. Flow Variables Prediction Using Experimental, Computational Fluid Dynamic and Artificial Neural Network Models in a Sharp Bend
2. The effect of data size of ANFIS and MLR models on prediction of unconfined compression strength of clayey soils
3. Vertical velocity in rectangular channel bends: numerical study and development of a prediction formula
4. Transverse velocity in rectangular channel bends: numerical study and development of a prediction formula
5. Direct measurements of secondary currents in river bends
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