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Discharge Prediction Model of Cylindrical Weir-Gate Based on Intelligent Algorithm
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Ding-ye CAO, Shan-shan LI, Guo-dong LI, Gui-ying SHEN
Water Resources and Power | 2023, 41(9) : 202 - 206
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Water Resources and Power | 2023, 41(9): 202-206
ELECTROMECHANICS AND CONTROL ENGINEERING
Discharge Prediction Model of Cylindrical Weir-Gate Based on Intelligent Algorithm
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Ding-ye CAO, Shan-shan LI, Guo-dong LI, Gui-ying SHEN
Affiliations
  • State Key Laboratory of Ecological Water Conservancy in Arid Areas of Northwest China, Xi’an University of Technology, Xi’an 710048, China
Published: 2023-09-25 doi: 10.20040/j.cnki.1000-7709.2023.20230299
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The weir-gate structure has larger discharge capacity. To accurately and efficiently check the discharge of weir-gate, three intelligent algorithms including BP neural network, SVM and GRNN were used to predict the discharge coefficient of cylindrical weir-gate. The correlation analysis and variation law between dimensionless parameters and discharge coefficient were discussed. The results show that the GRNN and the BP can accurately predict the discharge coefficient of the cylindrical weir-gate. The determination coefficient of the BP in the test stage is 0.997, the root mean square error is 0.009, the average absolute percentage is 0.801 %, and the Nash efficiency coefficient is 0.997, which is superior to the GRNN, and it can be used as an efficient and high-precision prediction model for the discharge coefficient of the weir-gate. There is a stronger correlation between the ratio of gate opening to cylinder diameter (a/D), the ratio of weir head to cylinder diameter (Hw/D) and Cd. The Cd increased with the increase of upstream Froude number (Fr) and Hw/D, and the greater the a/D is, the greater the increase of Cd is. The search results provide theoretical reference and technical support for the popularization and application of cylindrical weir gate in practical engineering.

cylindrical weir-gate  /  discharge coefficient  /  prediction  /  artificial intelligence
Ding-ye CAO, Shan-shan LI, Guo-dong LI, Gui-ying SHEN. Discharge Prediction Model of Cylindrical Weir-Gate Based on Intelligent Algorithm[J]. Water Resources and Power, 2023 , 41 (9) : 202 -206 . DOI: 10.20040/j.cnki.1000-7709.2023.20230299
Year 2023 volume 41 Issue 9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230299
  • Receive Date:2023-03-02
  • Online Date:2026-01-28
  • Published:2023-09-25
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  • Received:2023-03-02
  • Revised:2023-04-14
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    State Key Laboratory of Ecological Water Conservancy in Arid Areas of Northwest China, Xi’an University of Technology, Xi’an 710048, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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