چکیده مقاله
One of the most difficult issues in designing hydraulic structures is addressingenergy dissipation in spillways, outlets and stilling basins There are variousmethods to raise energy dissipation; they are devoid of foundation scour, streambederosion and other unfavorable processes One of these approaches is employing thestilling basin with multi horizontal submerged jets MHSJ by two layers, whichare suggested for use as an energy dissipation structure in hydropower stations This study focused on the prediction of energy dissipation in the stilling basin ofmulti horizontal submerged jets with two layers and 3 angles including 0º, 5º and8º These structure installed in outlets, performed by machine learning andcompared with the energy dissipation ratio, as computed by the energy formula The results indicated that when the angles of lower layer jets θ2 were larger thanthose of the upper ones θ1 Ɵ2> Ɵ1 , the percent of wasted energy would soar Also, comparison of the numerical results estimated by the Linear Regression andSupport Vector Regression and decision tree methods with the experimental resultsshowed a significant correlation between the numerical results and theexperimental ones
کلیدواژهها
نویسندگان
Pedram Ramezani
Department of Water Science and Engineering, Shahid Chamran University of Ahwaz, Ahwaz, Iran
Ehsan Shamaei
Water and Waste Water Company, Isfahan, Iran
Hamed Kharazmi
Department of Computer Engineering, University of Kashan, Kashan, Isfahan, Iran
شیوه ارجاع
Ramezani, Pedram and Shamaei, Ehsan and Kharazmi, Hamed,1403,comparing experimental energy dissipation inmulti-horizontal submerged jets to Machine learningmodels,Second International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی تحقیقات پیشرفته در مهندسی عمران، معماری و شهرسازی20 آبان 1403