Numerical Study of the Effects of Inlet Geometry on the Performance of the Sediment Bypass Tunnel using SSIIM Numerical Model | ||
| Journal of Hydraulic and Water Engineering | ||
| دوره 1، شماره 1، مهر 2023، صفحه 65-75 اصل مقاله (418.61 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22044/jhwe.2023.13128.1020 | ||
| نویسندگان | ||
| P. Aminian* 1؛ M. Jorabloo2؛ A. Ahmadi3 | ||
| 1Assistant Professor, Department of Civil Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran. | ||
| 2Assistant Professor, Department Water Engineering, Garmsar Branch, Islamic Azad University, Garmsar, Iran. | ||
| 3Associate Professor, Department of Water and Environmental Engineering, Civil Engineering Collage, Shahrood University of Technology, Shahrood, Iran. | ||
| چکیده | ||
| Sediment Bypass Tunnels (SBTs) are deviant channels that convey the current containing sediments from the upstream to the downstream of the reservoir. This study investigates the effect of hydraulic and geometry parameters such as discharge, flow depth and deviated channel width on the deviating of the flow and sediment to the SBTs. In addition, the effects of the submerged plates with angels 30o, 45o, and 60o on the sediment transport to the 90-degree deviated channel (SBTs) examined. The laboratory experiments conducted in the flume with 10.0 m long, 0.60 m width and 0.75 m height. Moreover, the SSIIM model used to simulate flow and sediment. The results revealed that the 33% reduction of diversion channel width would lead to an 8.5% reduction of the deviated flow to the deviated channel. The maximum performance of deviated channel was obtained when the Froude number decreased and the flow depth increased. In terms of the angle of submerged plates, it can be observed that increasing the Froude number by 0.3 results in a 22.2% decrease in the channel deviated discharge and a 53.3% decrease in the channel deviated sediment. By reducing the Froude number of the flow and the depth along with using submerged plates at an angle of 30 degrees, the optimal diversion option can be provided. The comparison results of the numerical simulation of the SSIIM model with experiment data indicated that it simulated deviated flow and sediment to the SBTs with the correlation coefficient more than 0.95. | ||
| کلیدواژهها | ||
| Deviated channel؛ Sediment transport؛ Deviated flow؛ Secondary flow؛ SSIIM numerical model | ||
| مراجع | ||
|
Abbott, M.B., and Minns, A.W., 2017. Computational hydraulics. Routledge.
Al-Zubaidy, R.A., and Ismaeil, R.H., 2022. Sediment control at the lateral channel inlet, IOP Conference Series: Earth and Environmental Science. IOP Publishing, pp. 012096.
Aminian, P., Ahmadi, A., and Emamgholizadeh, S., 2019a. Experimental investigation on the deviated sediment and flow to sediment bypass tunnels (SBTs) using submerged plates. Journal of Hydraulic Structures, 5(2), pp. 18-31.
Aminian, P., Ahmadi, A., and Emamgholizadeh, S., 2019b. Experimental Study of the Effects of Hydraulic and Geometric Parameters of the Sediment Transport Tunnel on the Deviation Flow and Transmitted Sediment. Iranian Journal of Soil and Water Research, 50(2), pp. 505-514.
Auel, C., and Boes, R.M., 2011. Sediment bypass tunnel design–review and outlook. Dams and reservoirs under changing challenges, 40312.
Boes, R., Auel, C., Hagmann, M., and Albayrak, I., 2014. Sediment bypass tunnels to mitigate reservoir sedimentation and restore sediment continuity. Reservoir sedimentation, pp. 221-228.
Chauhan, V., Padhi, E., Chavan, R., and Singhal, G.D., 2023. A review of bridge scour mitigation measures using flow deflecting structures. ISH Journal of Hydraulic Engineering, pp. 1-14.
Emamgholizadeh, S., 2012. Neural network modeling of scour cone geometry around outlet in the pressure flushing. Global NEST Journal, 14(4), pp. 540-549.
Emamgholizadeh, S., Bateni, S.M., and Jeng, D.-S., 2013. Artificial intelligence-based estimation of flushing half-cone geometry. Engineering Applications of Artificial Intelligence, 26(10), pp. 2551-2558.
Emamgholizadeh, S., and Fathi Moghadam, M., 2014. Pressure Flushing of Cohesive Sediment in Dam Reservoir. Journal of Hydrology, 19(1), pp. 674-681.
Emamgholizadeh, S., and Samadi, H., 2008. Desilting of deposited sediment at the upstream of the Dez reservoir in Iran. Journal of Applied Sciences in Environmental Sanitation, 3(1), pp. 25-35.
Emamgholizadeh, S., and Torabi, H., 2008. Experimental investigation of the effects of submerged vanes for sediment diversion in the Veis (Ahwaz) Pump Station. Journal of Applied Sciences, 8(13), pp. 2396-2403.
Fathi-Moghadam, M., Emamgholizadeh, S., Bina, M., and Ghomeshi, M., 2010. Physical modelling of pressure flushing for desilting of non-cohesive sediment. Journal of Hydraulic Research, 48(4), pp. 509-514.
Haghnazar, H., and Saneie, M., 2019. Impacts of pit distance and location on river sand mining management. Modeling Earth Systems and Environment, 5, pp. 1463-1472.
Haghnazar, H., Sangsefidi, Y., Mehraein, M., and Tavakol-Davani, H., 2020. Evaluation of infilling and replenishment of river sand mining pits. Environmental Earth Sciences, 79, pp. 1-18.
Hamidi, A., and Siadatmousavi, S.M., 2017. Numerical simulation of scour and flow field for different arrangements of two piers using SSIIM model. Ain Shams Engineering Journal.
Hojjati, S.H., and Zarrati, A.R., 2021. Numerical study of scouring downstream of a stilling basin. Environmental Fluid Mechanics, 21, pp. 465-482.
Hojjati, S.H., Zarrati, A.R., and Dehnavi, M.N., 2022. Experimental study of scouring downstream of USBR Type I stilling basin aligned with or below the erodible bed. Sādhanā, 47(4), pp. 272.
Jabary, A., Hosseini, A., Haghiabi, A.H., Emamgholizadeh, S., and Behnia, A., 2014. Prediction of the sediment load in the river by HEC-RAS. Irrigation and Water Engineering, 4(4), pp. 12-23.
Jenzer Althaus, J.M., Cesare, G.D., and Schleiss, A.J., 2014. Sediment evacuation from reservoirs through intakes by jet-induced flow. Journal of Hydraulic Engineering, 141(2), pp. 04014078.
Kantoush, S., Sumi, T., and Murasaki, M., 2011. Evaluation of sediment bypass efficiency by flow field and sediment concentration monitoring techniques. Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 67(4), pp. I_169-I_174.
Kondolf, G.M. et al., 2014. Sustainable sediment management in reservoirs and regulated rivers: Experiences from five continents. Earth's Future, 2(5), pp. 256-280.
Koshiba, T., Miura, S., and Sumi, T., 2022. Study on the Koshibu Dam sediment bypass tunnel operation based on sediment transport monitoring in upstream reaches, E3S Web of Conferences. EDP Sciences, pp. 03013.
Lai, Y.G., and Wu, K.-w., 2018. A numerical modeling study of sediment bypass tunnels at shihmen reservoir, Taiwan. International Journal of Hydrology, 2, pp. 72-81.
Li, B., and Wang, Y., 2023. Dynamics of sediment transport in the Yangtze River and their key drivers. Science of The Total Environment, 862, pp. 160688.
Meshkati, M., Dehghani, A., Naser, G., Emamgholizadeh, S., and Mosaedi, A., 2009. Evolution of developing flushing cone during the pressurized flushing in reservoir storage. World Academy of Science, Engineering and Technology, 58, pp. 1107-1111.
Morris, G., and Fan, J., 1997. Chapter 9. Hydraulics of Sediment Transport, in “Reservoir Sedimentation Handbook-Design and Management of Dams, Reservoirs, and Watersheds for Sustainable Use”. McGraw Hill, New York.
Najafpour, N., Emamgholizadeh, S., Torabi Podeh, H., and Haghiabi, A.H., 2016. Estimation of Sediment Transport Rate of Karun River (Iran). Journal of Hydraulic Structures, 2(2), pp. 74-84.
Neary, V., Sotiropoulos, F., and Odgaard, A., 1999. Three-dimensional numerical model of lateral-intake inflows. Journal of Hydraulic Engineering, 125(2), pp. 126-140.
Neary, V.S., 1992. Flow structure at an open channel diversion, University of Iowa.
Nohani, E., 2017. Application of the Submerged Vanes on Reduction of Local Scour around the Bridge Abutment with Rounded Nose. Irrigation and Drainage Structures Engineering Research, 18(68), pp. 113-128.
Olsen, N.R., 2006. A three-dimensional numerical model for simulation of sediment movements in water intakes with multiblock option. Department of Hydraulic Environmental Engineering, Norwegian University of Science
Technology, Trondheim, Norway.
Ruether, N., Singh, J., Olsen, N., and Atkinson, E., 2005. 3-D computation of sediment transport at water intakes, Proceedings of the Institution of Civil Engineers-Water Management. Thomas Telford Ltd, pp. 1-7.
Sumi, T., Okano, M., and Takata, Y., 2004. Reservoir sedimentation management with bypass tunnels in Japan, Proc. 9th International Symposium on River Sedimentation, pp. 1036-1043.
Taşar, B., Üneş, F., Gemici, E., Demirci, M., and Kaya, Y.Z., 2023. NUMERICAL MODELING OF SUBMERGED VANE FLOW. Aerul si Apa. Componente ale Mediului, pp. 111-120.
Torabi Poudeh, H.T., Emamgholizadeh, S., and Fathi-Moghadam, M., 2014. Experimental study of the velocity of density currents in convergent and divergent channels. International Journal of Sediment Research, 29(4), pp. 518-523.
Vischer, D., 1997. Bypass tunnels to prevent reservoir sedimentation, Proc. 19th ICOLD Congress, Florence, Italy, 1997.
Wang, T., Reiffsteck, P., Chevalier, C., Zhu, Z., Chen, C.-W., and Schmidt, F., 2023. A novel extreme gradient boosting algorithm based model for predicting the scour risk around bridge piers: application to French railway bridges. European Journal of Environmental and Civil Engineering, 27(3), pp. 1104-1122.
Zhang, H. et al., 2023. Morphology and origin of liquefaction-related sediment failures on the Yellow River subaqueous delta. Marine and Petroleum Geology, 153, pp. 106262. | ||
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