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A Method of Tunnel Roughness Estimation Based on Surface Roughness Hierarchical Sampling Measurement
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Jun-qiang LI, Wen-xue CHEN, Xiang-peng MU, Zhe-qi ZHANG
Water Resources and Power | 2023, 41(4) : 135 - 138
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Water Resources and Power | 2023, 41(4): 135-138
WATER CONSERVANCY AND HYDROPOWER ENGINEERING
A Method of Tunnel Roughness Estimation Based on Surface Roughness Hierarchical Sampling Measurement
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Jun-qiang LI, Wen-xue CHEN, Xiang-peng MU, Zhe-qi ZHANG
Affiliations
  • State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: 2023-04-25 doi: 10.20040/j.cnki.1000-7709.2023.20221493
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Roughness is an important parameter which reflects water transport capacity of water diversion project. The roughness value can be calculated by observing the frictional head loss. However, how to estimate the roughness is always a difficult problem in hydraulics for the new unworked water diversion project. The surface roughness of water conveyance buildings is a vital factor affecting the roughness value. So, this study proposed a surface roughness measurement method relies on hierarchical sampling. Taking a new in-situ reinforced concrete lining tunnel as an example, the statistical distribution of surface roughness and the minimum sample size of tunnel roughness estimation were analyzed. On this basis, the roughness value range of the tunnel project was estimated, which has a certain reference significance for predicting the water transport capacity of the new project and inspecting the construction quality of the lining.

water conveyance structure  /  Manning’s coefficient  /  flow resistance  /  surface roughness  /  lognormal distribution
Jun-qiang LI, Wen-xue CHEN, Xiang-peng MU, Zhe-qi ZHANG. A Method of Tunnel Roughness Estimation Based on Surface Roughness Hierarchical Sampling Measurement[J]. Water Resources and Power, 2023 , 41 (4) : 135 -138 . DOI: 10.20040/j.cnki.1000-7709.2023.20221493
Year 2023 volume 41 Issue 4
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221493
  • Receive Date:2022-07-20
  • Online Date:2026-01-27
  • Published:2023-04-25
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  • Received:2022-07-20
  • Revised:2022-10-19
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    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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