Optimization Design of Myring Streamlined Volume Sink Based on NSGA-Ⅱ Genetic Algorithm

YANG Yang, ZHANG Kuandi, YAO Tiancheng, LI Ke, LÜ Hongxing, WANG Meng


In order to find a new type of quantitative tank with better hydraulic performance and broaden the research ideas in the field of quantitative tank, the obstruction state of the quantitative tank in the channel has certain similarities with the resistance of the submersible when diving, so based on the structural characteristics of Myring streamlined submersible, the body shape design of the measuring tank was carried out, and the better linear type and its hydraulic characteristics with the least hindered volume tank were explored. The length of contraction section, the sharpness factor of contraction section, the length of diffusion section and the departure angle of diffusion section were the variables, totally 40 sets of experimental schemes were designed for streamlined parameters by using the optimal Latin hypercube design method, and 40 sets of simulation data values were obtained based on FLOW-3D software. These data included percentage head loss and upstream Froude number, which were used to train RBF neural networks, and the coefficients of determination were 0.98916 and 0.99978, respectively, indicating that the neural network had high accuracy;the neural network was used as the fitness value of NSGA-Ⅱ genetic algorithm, and then the Patero frontier solution evaluation and screening by TOPSIS method were used to obtain the comprehensive optimal individual;the contraction segment length was 45.9cm, the contraction section sharpness factor was 0.74, the diffusion segment length was 49.2cm, and the diffusion angle was 14.63°. The corresponding head loss and upstream Froude number simulation values were 13.00% and 0.327, respectively, and the error of the prediction results did not exceed 5%. A total of six contraction ratios were obtained by equal scale scaling of the optimal individuals, and model experiments were carried out under nine groups of flow rates, and it was found that the Ferude number of upstream under different working conditions was less than 0.5, which met the requirements of the flow measurement specification, and the hydraulic performance was better when the shrinkage ratio was in the range of 0.58~0.66. Based on the principles of critical flow measurement and dimensional analysis, the accuracy of the current measurement formula was high, and the average relative error was 2.09%. The research result proved the feasibility of applying streamline to the field of quantitative sink research and optimization through neural networks and genetic algorithms. At the same time, it was shown that the optimized Myring streamlined water tank had good performance and high flow measurement accuracy, which had a wide application prospect in irrigation channels.


Keywords:streamlined volume sink;optimization of body shape;numerical simulation;neural network;NSGA-Ⅱ genetic algorithm


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SHANG Songhao, JIANG Lei, YANG Yuting. Review of remote sensing-based assessment method for irrigation and crop water use efficiency [ J ]. Transactions of the Chinese Society for Agricultural Machinery, 2015,46( 10) :81 -92. ( in Chinese)

WANG Qingyi. Observations and recommendations on water education in the new era J J. China Water Resources, 2019( 12) ; 7-8. (in Chinese)

MA Tao, LIU Jiufu, PENG Anbang, et al. Progress in development and utilization of non-conventional water resources in China [J] . Advances in Water Science, 2020,31(6) ;960 -969. (in Chinese)

DENG Mingjiang, TAO Wanghai, WANG Quanjiu, et al. Theory and technical guarantee system construction of modern ecological irrigation district in northwest China [J]. Transactions of the Chinese Society for Agricultural Machinery, 2022, 53(8):1 — 13. ( in Chinese)

GUO Ping, PAN Qi, YUE Qiong, et al. Multi-objective modelling for optimal allocation of agricultural — ecological water and land resources based on type-2 fuzzy sets [J ]. Transactions of the Chinese Society for Agricultural Machinery, 2022 ,53 ( 12) ; 353 -365. (in Chinese)

PAN Zhibao, Lt Hongxing, WEI Xi. Current applied research and advances of measuring flume in irrigation district [ J ]. Journal of Northwest A&F University ( Natural Science Edition) , 2007,35(4) ; 213 -217. (in Chinese)

WANG Changde. The technology applied to irrigation water measurement in China[J]. China Water Resources, 2005(7) ;26 - 28 ,34. (in Chinese)

CASTRO-ORGAZ 0, MATEOS L. Water discharge measurement in agricultural catchments using critical depth flumes affected by sediment deposition [ J]. Journal of Irrigation and Drainage Engineering ,2014 , 140(3) ; 04013018.

SKOGERBOE G V, HYATT M L, ENGLAND J D, et al. Measuring water with Parshall flumes [R]. USA: Utah Water Research Laboratory, 1966 :1 - 49.

XU Yijun, HAN Qibiao. Summary of current research on measuring flume in irrigation districts of China[J ]. Water Saving Irrigation, 2012(5) ;56 —59. (in Chinese)

HAGER W H. Modified venturi channel [J] . Journal of Irrigation and Drainage Engineering, 1985 ,1 11 ( 1 ) : 19 -35.

WANG Zhi, ZHU Fengshu, LIU Xiaoming. Experimental study on flat paroholic throatless flume for flow measurement [ J ]. Journal of Hydraulic Engineering, 1994,25(7) : 12 -23. (in Chinese)

ZHANG Zhichang, ZHANG Zongxiao, VAN J inyuan, et al. A new type of flow measuring equipment—straight wall trough measuring weir of the U-shaped channel [J]. Journal of Xi'an University of Technology, 1992,8 ( 1 ) : 44 - 52,70. ( in Chinese)

WANG Yubao, YANG Juan, LI Xin, et al. Hydraulic performance of plate-column portable flume in U-shaped channel [J ]. Transactions of the Chinese Society for Agricultural Machinery ,2019 ,50( 6 ) ; 3 32 -330. (in Chinese)

LD Hongxing, LIU Huanfang, ZHU Xiaoqun, et al. Experimental research on airfoil-shaped flow flume[J]. Transactions of the CSAE, 2006,22(9) ; 1 19 - 123. (in Chinese)

HE Mengyang, SIIANG Haixin, ZHANG Kuandi, et al. Hydraulic performance experiments and numerical simulation of portable water measuring flume of imitating airfoil shape [ J ]. Transactions of the CSAE, 2021 , 37 ( 12 ) : 117 - 124. ( in Chinese)

LIU Hongtao, QU Zhongyi, LI Yivang, et al. Optimization of wing-shaped measuring flume based on Bayesian network theory and bionic technology [J] . Advanced Engineering Sciences, 2022, 54(6) : 105 - 115. (in Chinese)

JI Qingfeng, YUAN Xiaoyuan, GE Yun, et al. Numerical simulation research on hydraulic characteristics of cylinder measuring flume in trapezoidal channel[ J]. Journal of Irrigation and Drainage, 2012, 31(2) ;59 -61. (in Chinese)


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