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Tytuł artykułu

Environmental Assessment of Energy Dissipation over Submerged Dams Using MATLAB Simulation

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Języki publikacji
EN
Abstrakty
EN
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 (Fr), hydraulic jump length (Lj), and the distance of the hydraulic jump from the submerged dam (Dj). 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.
Twórcy
  • Geomatics Department, Technical Engineering College, Northern Technical University, Al Minsaa St., Mosul City, Nineveh Governorate, Iraq
Bibliografia
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  • 9. Mahmoud, A.S., Mezaal, M.R., Hameed, M.R., Naje, A.S. 2022. A framework for improving urban land cover using object and pixel-based techniques via remotely sensed data. Nature Environment & Pollution Technology, 21(5), 2189-2200.
  • 10. Mezaal, M.R., Pradhan, B., Shafri, H.Z.M., Mojaddadi, H., Yusoff, Z.M. 2019. Optimized hierarchical rule-based classification for differentiating shallow and deep-seated landslide using high-resolution LiDAR data. In: GCEC 2017: Proceedings of the 1st Global Civil Engineering Conference 1. Springer Singapore, pp. 825-848.
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  • 14. Sameen, M.I., Pradhan, B., Shafri, H.Z., Mezaal, M.R., bin Hamid, H. 2017. Integration of ant colony optimization and object-based analysis for LiDAR data classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5), 2055-2066.
  • 15. Shehab, F.M., Jasim, S.D. 2020. Hydraulic characteristics of flow over submerged dams. In: IOP Conference Series: Materials Science and Engineering, 881(1), #012037.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-20f23b60-b21a-4ead-b4c2-9d5e462dec38
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