Turbulence modelling for depth-averaged velocity and boundary shear stress of a dense rigid grass bed open channel

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NSTL

外文摘要：The present research focusses on a comparison of experimental and numerical approaches for flow over fixed artificial rigid grass bed channels. Various flow parameters like longitudinal velocity, depth-averaged velocity (DAV), boundary shear stress (BSS) and secondary current are analysed and compared with seven numerical models: standard, realizable and renormalization group (RNG) k-ε models and standard, shear stress transport (SST), generalized k-ω (GEKO) and Baseline (BSD k- ω models. To evaluate the strength of the seven applied models, the error analysis has been performed. It is found that the RNG k-ε and SST k-ω models provided better results for both the DAV and BSS prediction, but the RNG k-ε model is found to be the most suitable for predicting the DAV and the SST k-ω model for BSS as compared to the other models. For the longitudinal velocity profiles, both the RNG k-ε and SST k-ω models are found to provide good agreement with experimental results at the centre of the channel, whereas the SST k-ω model is more accurate near the wall. Overall, the SST k-ω model has predicted the results with good accuracy for all the flow parameters considered in the present study.

外文关键词：

ANSYS Fluentexperimental resultsgrass bedk-ε and k-ω modelsstatistical error analysis

作者：

Sarjati Sahoo、Jnana Ranjan Khuntia、Kamalini Devi、B. Sree Sai Prasad、Kishanjit Kumar Khatua

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作者单位：

Department of Civil Engineering, National Institute of Technology, Rourkela, Odisha, India

Department of Civil Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India

Department of Civil Engineering, Indian Institute of Technology, Madras, Chennai, Tamilnadu, India

出版年：

2023

DOI：

10.2166/aqua.2023.093

Aqua: The quarterly bulletin of the International Water Supply Association

ISSN：0003-7214

年,卷(期)：2023.72(9/12)