Prediksi Perilaku Aliran di Belokan Saluran menggunakan Particle Swarm Optimization

Hery Teguh Setiawan, Arrizka Asyriati Adipradana

Abstract


Hydraulically, the flow behavior in straight and turning lines is different because it is influenced by geometric factors and other related hydraulic parameters. The hydraulic behavior of straight and turning lines has been widely studied by means of theoretical, experimental and numerical approaches. The theoretical approach is very limited and still leaves many questions, while the experimental approach requires large research costs, so that the numerical approach through computation can be used as a reliable alternative research as long as it is based on a theoretical basis and valid experimental data. The purpose of this research is to analyze and predict the flow behavior of channel bends using Particle Swarm Optimization (PSO).  optimization algorithm. The results obtained indicate that the PSO can be relied upon in modeling the fluid flow velocity at the channel bends with an average error percentage of 8% compared to the measured data.


Keywords


Optimization; Numerical Method; PSO.

References


Sumiyadi, “ALIRAN PADA SALURAN MENIKUNG DASAR RATA DAN DASAR TERGERUS (Flow on Flat and Eroded-Bed Curved Channel),†Univ. Gadjah Mada, pp. 1–34, 2014.

A. Y. Adipradana, “KARAKTERISTIKA ALIRAN PRIMER DAN SEKUNDER PADA BELOKAN SALURAN,†vol. 7, pp. 219–232, 2014.

S. Londhe and S. Gavraskar, “Stream flow forecasting using least square support vector regression,†J. Soft Comput. Civ. 2018, [Online]. Available: http://www.jsoftcivil.com/index.php/index/journal/journal/article_54124.html.

O. Boulariah, M. Meddi, and A. Longobardi, “Assessment of prediction performances of stochastic and conceptual hydrological models: monthly stream flow prediction in northwestern Algeria,†Arab. J. Geosci., 2019, [Online]. Available: https://link.springer.com/article/10.1007/s12517-019-

-5.

R. M. Adnan, Z. Liang, S. Trajkovic, M. Zounemat-Kermani, B. Li, and O. Kisi, “Daily streamflow prediction using optimally pruned extreme learning machine,†J. Hydrol., vol. 577, no. May, 2019, doi: 10.1016/j.jhydrol.2019.123981.

I. K. Marchevskii and V. V Puzikova, “Numerical simulation of the flow around two circular airfoils positioned across the stream using the LS-STAG method,†J. Mach. Manuf, 2017, [Online]. Available: https://link.springer.com/article/10.3103/S105261881702011X.

A. Shahbazi, A. M. A. Ali, and F. Radmanesh, “Ensemble Stream Flow Prediction (ESP) Using Hybrid Rainfall Runoff Model (Case study: Roud Zard Basin).†(JISE) (SCIENTIFIC JOURNAL OF. 2017.

W. Chong, Z. Lin-Jing, W. Qing, C. Lian-Hai, “Estimation of landscape pattern change on stream flow using SWAT-VRR,†Eur. J, 2020, [Online]. Available: https://www.tandfonline.com/doi/abs/10.1080/22797254.2020.1790994.

A. Varughese, “Modelling stream flow using swat model: A case study of Thuthapuzha river Basin, Kerala,†Int. J. Farm Sci., 2020, [Online]. Available: https://www.indianjournals.com/ijor.aspx?target=ijor:ijfs&volume=10&issue=2&article=016.

F. Naseri, M. Azari, and M. T. Dastoorani, “Simulation of stream flow and sediment yield in Fariman dam watershed using SWAT model and genetic algorithm.†J. Water Soil, 2018, [Online]. Available: https://www.cabdirect.org/cabdirect/abstract/20193051141.




DOI: https://doi.org/10.33387/protk.v8i2.2664

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