Author:
Behnamtalab Ehsan,Maskani Vahidreza,Sarkardeh Hamed
Abstract
AbstractThe USBR VI stilling basin is one of the oldest basins designed to dissipate the energy at the outlet of pipes. In this study, the effect of two parameters including the Froude number (Fr) of inlet flow to the basin and the ratio of basin width to equivalent depth of the inlet flow (W/D) on the characteristics of mean and turbulent flow inside the USBR VI stilling basin were investigated, numerically. Reynolds Averaged Navier–Stokes (RANS) equations were solved with Re-Normalization Group (RNG) k-ε turbulence model. Results showed that by increasing W⁄D, from 3.50 to 9.23, decreasing rate of the average velocity at the end of the basin to the average velocity of the inflow increases from 80 to 97% and decreasing rate of the maximum velocity at the end of the basin to the average velocity of the inflow increases from 40 to 87%. Also, by increasing W⁄D, from 3.50 to 9.23, the average turbulent dissipation rate in the whole basin increases to 4.5 times, moderately. Moreover, by increasing W⁄D, from 3.50 to 9.23, the dissipation of turbulent flow energy in the basin becomes four times. Therefore, to design a USBR VI stilling basin based on the existing conditions, W⁄D recommended to increase as much as possible until nearly 10.
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology
Reference44 articles.
1. Aleyasin SS, Fathi N, Vorobieff P (2015) Experimental study of the Type VI stilling basin performance. J Fluids Eng 137(3):034503
2. Amorim BJCC, Amante RCR, Barbosa VD (2015) Experimental and numerical modeling of flow in a stilling basin. In: 36th IAHR World Congress, Haugue, the Netherlands.
3. Anderson J, Wendt J (1995) Computational fluid dynamics, vol 206. McGraw-Hill, New York.
4. Babaali H, Shamsai A, Vosoughifar H (2015) Computational modeling of the hydraulic jump in the stilling basin with convergence walls using CFD codes. Arab J Sci Eng 40(2):381–395
5. Baranya S, Olsen NRB, Józsa J (2015) Flow analysis of a river confluence with field measurements and RANS model with nested grid approach. River Res Appl 31(1):28–41