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Inversion of Permeability Coefficient for Concrete Face Rockfill Dam Based on PSO-GRNN and Its Application
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Hao-xuan LI1, Zhen-zhong SHEN1, Wen-bing ZHANG1, 2
Water Resources and Power | 2023, 41(5) : 67 - 70
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Water Resources and Power | 2023, 41(5): 67-70
• DAM SAFETY AND MONITORING •
Inversion of Permeability Coefficient for Concrete Face Rockfill Dam Based on PSO-GRNN and Its Application
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Hao-xuan LI1, Zhen-zhong SHEN1, Wen-bing ZHANG1, 2
Affiliations
  • 1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
  • 2.College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
Published: 2023-05-25 doi: 10.20040/j.cnki.1000-7709.2023.20220912
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Considering the characteristics of inversion problems of concrete face dam, including high dimensionality, complex calculation and excessive calculation time, the orthogonal experimental design was used to construct the learning sample composed of the combination of permeability coefficient and the water head of pressure measuring point. The nonlinear mapping relationship between the water head at monitoring points and permeability coefficient was established by general regression neural network (GRNN), and the particle swarm optimization (PSO) algorithm was used to search for the smoothing factor σ suitable for the specific project to improve the generalization and convergence speed of the model. The PSO-GRNN model for the inversion of the permeability coefficient of concrete face dam was established, and was applied on an engineering example. The results show that the value of permeability coefficient obtained by inversion based on the model is reasonable, and the maximum relative error between the calculated value of water head at monitoring points obtained by seepage analysis and the measured value is 3.64%, and the accuracy meets the needs of engineering.

concrete face dam  /  permeability coefficient  /  inversion analysis  /  GRNN  /  PSO
Hao-xuan LI, Zhen-zhong SHEN, Wen-bing ZHANG. Inversion of Permeability Coefficient for Concrete Face Rockfill Dam Based on PSO-GRNN and Its Application[J]. Water Resources and Power, 2023 , 41 (5) : 67 -70 . DOI: 10.20040/j.cnki.1000-7709.2023.20220912
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20220912
  • Receive Date：2022-05-04
  • Online Date：2026-01-28
  • Published：2023-05-25
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  • Received：2022-05-04
  • Revised：2022-08-04
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Affiliations
    1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    2.College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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