4.7 Article

An improve d air entrainment model for steppe d spillways

Journal

APPLIED MATHEMATICAL MODELLING
Volume 100, Issue -, Pages 170-191

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2021.07.016

Keywords

Air entrainment modelling; Numerical modelling; CFD; Openfoam; Self-aeration; Stepped spillway

Funding

  1. Swedish Energy Agency [P38284-2]

Ask authors/readers for more resources

This work explores the application of an air entrainment model in simulation of flows in stepped spillways, identifying deficiencies and proposing improvements to the model. Two criteria for predicting the inception point of air entrainment are tested, with the boundary layer-based approach recommended for its superior accuracy and robustness.
This work considers the application of the air entrainment model developed in [P. Lopes et al. Int. J. Nonlin. Sci. Num., vol. 18, pp. 559-574, 2017] to simulation of flows in stepped spillways. Four Froude numbers are considered for the flow, with parameters selected to match available experimental data. An extensive simulation campaign led to the identification of several deficiencies in the model, most importantly, its strong grid dependence. An improvement to the interface detection algorithm used in the model is proposed, and simulations reveal improved robustness with respect to the grid density. Furthermore, two criteria for predicting the inception point of air entrainment are tested, based on energy balance and boundary layer state, respectively. The boundary layer-based approach is recommended due to superior accuracy and robustness with respect to turbulence model selection. (c) 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available