Energy Dissipation in Rough Chute: Experimental Approach Versus Artificial Intelligence Modeling

Kim, Sungwon; Salmasi, Farzin; Ghorbani, Mohammad Ali; Karimi, Vahid; Malik, Anurag; Kahya, Ercan

doi:10.1007/978-981-15-5772-9_12

Cited by 2 publications

(2 citation statements)

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“…In investigating dams, inclined surface Submerged dams are employed to prevent scouring downstream by distributing flow energy over the weirs (Shehab and Jasim, 2020). Researchers investigated characteristics of flow over different types of submerged dams based on laboratory trials where they employed measuring discharge and manage the water level on channels (Kim et al, 2021;Ikinciogullari, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…It is important to say that understanding these major factors is essential for designing dams that can effectively withstand maximum flow rates and minimizing energy dissipation (Goodarzi et al, 2012). Kim et al (2021) studied how to reduce energy loss by roughening the surface with stone arrangements. This study aims to reduce energy loss by roughening the surface with stone arrangements.…”

Section: Introductionmentioning

confidence: 99%

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Environmental Assessment of Energy Dissipation over Submerged Dams Using MATLAB Simulation

Shehab

2024

Ecol. Eng. Environ. Technol.

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In this study, a MATLAB simulation model was developed for the purpose of calculating the energy dissipation of runoff over submersible dams. A laboratory model of a submersible dam with standard dimensions was used, and two angles of inclination of the dam surface 16° and 24.5° were used downstream. In the laboratory work, the discharge and water depth were measured, in addition to the length of the hydraulic jump and the distance from the source, and by using the basic flow equations, the percentage of flow energy dissipation was calculated for both models, and the discharges were counted. The values of the Froude number ranged from 3.612 to 10.784. A simulation model was built in the MATLAB program using the basic equations of flow, finding the values of energy dissipation percentage and comparing them with the laboratory results. Then drawing the relationships between each of the discharge (Q), energy dissipation percentage (E%), Froude number (F r ), hydraulic jump length (L j ), and the distance of the hydraulic jump from the submerged dam (D j ). The numerical and experimental data have been compared, and it has been determined that there is an acceptable agreement between them. The results also showed the efficiency of using the MATLAB simulation method to obtain accurate and fast results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%