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Issue title: Special Section: Applied Machine Learning and Management of Volatility, Uncertainty, Complexity & Ambiguity (V.U.C.A)
Guest editors: Srikanta Patnaik
Article type: Research Article
Authors: Huang, Lingxiaoa | Qiao, Qiaob | Zheng, Lanxiangc | Liu, Liboa | Zhao, Wenjuanb | Jing, Hefangd | Li, Chunguangd; *
Affiliations: [a] School of Information Engineering, Ningxia University, Yinchuan, China | [b] School of Civil Engineering and Hydraulic Engineering, Ningxia University, Yinchuan, China | [c] College of Resources and Environmental Science, Ningxia University, Yinchuan, China | [d] Department of Civil Engineering, North Minzu University, Yinchuan, China
Correspondence: [*] Corresponding author. Chunguang Li, Department of Civil Engineering, North Minzu University, Yinchuan, 750021, China. E-mail: [email protected].
Abstract: In order to study the water flow movement of the Yazidang Reservoir, this paper generates the initial terrain for the researched water area with the image stitching technology and image edge detection technology, establishes a 3D k - ɛ mathematical model, solves the equations discretely by FVM and SIMPLEC algorithms, studies the numerical simulation of the water flow movement of the reservoir under four working conditions, and analyzes the flow field on the surface and at the bottom of the reservoir. The results show the improved terrain pre-processing accuracy and efficiency of the researched water area and the rationality of the water flow field and rate simulation results, which means that the established 3D turbulence mathematical model can be applied to the numerical simulation of the reservoirs similar to the Yazidang Reservoir. The numerical simulation of 3D turbulence in Yazidang Reservoir provides a theoretical basis and practical application value for the numerical simulation of similar reservoirs.
Keywords: Water flow movement, the Yazidang Reservoir, image stitching, edge detection, 3D k - ɛ mathematical model, numerical simulation, flow field
DOI: 10.3233/JIFS-179932
Journal: Journal of Intelligent & Fuzzy Systems, vol. 39, no. 2, pp. 1591-1600, 2020
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