Back analysis and stability prediction of surrounding rock during excavation of the Shuangjiangkou underground powerhouse

The underground powerhouse of the Shuangjiangkou hydropower station is one of the largest caverns under construction in China, and its stability during construction is crucial for safe construction. To study the stability of the surrounding rock during excavation, the displacement and stress of the...

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Vydané v:Journal of civil engineering and management Ročník 30; číslo 3; s. 264 - 278
Hlavní autori: Li, You, Xiao, Ming-Li, Feng, Gan, Cai, Ming-Guang, Wu, Jia-Ming, Pei, Jian-Liang, He, Jiang-Da
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Vilnius Vilnius Gediminas Technical University 01.03.2024
Predmet:
Algorithms
Analysis
back analysis
Caverns
Civil engineering
Construction
Deformation
Excavation
Fiber optics
Geological structures
Geology
Hydroelectric power
Hydroelectric power stations
Industrial plant emissions
Mechanical properties
Modulus of elasticity
Monitoring systems
neural network algorithm
Neural networks
Numerical analysis
numerical simulation
Parameters
Poisson's ratio
Rock
Rocks
safety monitoring
Simulation
Simulation methods
Stability
Stability analysis
stability prediction
Tailrace
underground cavern
Underground caverns
Water-power
underground cavern
stability prediction
neural network algorithm
back analysis
numerical simulation
safety monitoring
ISSN:1392-3730, 1822-3605
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Abstract The underground powerhouse of the Shuangjiangkou hydropower station is one of the largest caverns under construction in China, and its stability during construction is crucial for safe construction. To study the stability of the surrounding rock during excavation, the displacement and stress of the surrounding rock were monitored by multi-point displacement meters and bolt stress meters. Based on the monitoring data, the elastic modulus, Poisson’s ratio, friction angle, and cohesion of surrounding rock were inversely analyzed by the PSO-BP algorithm. Then, the back-analyzed parameters were used to simulate the subsequent excavations and predict the stability of surrounding rock during the following construction. The analysis results show that the surrounding rocks were generally stable during the initial four stages of excavation, and the main factors affecting their stability were blasts and unfavorable geological structures, including the lamprophyre vein and the F1 fault. These unfavorable geological structures also significantly decrease the mechanical parameters of surrounding rock as demonstrated by back analysis, and the stability prediction results show that the omnibus bar cave and the tailrace tunnel were at the greatest risk of instability during the subsequent excavations. This study provides a practical analysis for engineering excavation of the underground caverns.
AbstractList The underground powerhouse of the Shuangjiangkou hydropower station is one of the largest caverns under construction in China, and its stability during construction is crucial for safe construction. To study the stability of the surrounding rock during excavation, the displacement and stress of the surrounding rock were monitored by multi-point displacement meters and bolt stress meters. Based on the monitoring data, the elastic modulus, Poisson’s ratio, friction angle, and cohesion of surrounding rock were inversely analyzed by the PSO-BP algorithm. Then, the back-analyzed parameters were used to simulate the subsequent excavations and predict the stability of surrounding rock during the following construction. The analysis results show that the surrounding rocks were generally stable during the initial four stages of excavation, and the main factors affecting their stability were blasts and unfavorable geological structures, including the lamprophyre vein and the F1 fault. These unfavorable geological structures also significantly decrease the mechanical parameters of surrounding rock as demonstrated by back analysis, and the stability prediction results show that the omnibus bar cave and the tailrace tunnel were at the greatest risk of instability during the subsequent excavations. This study provides a practical analysis for engineering excavation of the underground caverns.
The underground powerhouse of the Shuangjiangkou hydropower station is one of the largest caverns under construction in China, and its stability during construction is crucial for safe construction. To study the stability of the surrounding rock during excavation, the displacement and stress of the surrounding rock were monitored by multi-point displacement meters and bolt stress meters. Based on the monitoring data, the elastic modulus, Poisson's ratio, friction angle, and cohesion of surrounding rock were inversely analyzed by the PSO-BP algorithm. Then, the back-analyzed parameters were used to simulate the subsequent excavations and predict the stability of surrounding rock during the following construction. The analysis results show that the surrounding rocks were generally stable during the initial four stages of excavation, and the main factors affecting their stability were blasts and unfavorable geological structures, including the lamprophyre vein and the F1 fault. These unfavorable geological structures also significantly decrease the mechanical parameters of surrounding rock as demonstrated by back analysis, and the stability prediction results show that the omnibus bar cave and the tailrace tunnel were at the greatest risk of instability during the subsequent excavations. This study provides a practical analysis for engineering excavation of the underground caverns. Keywords: underground cavern, back analysis, stability prediction, safety monitoring, neural network algorithm, numerical simulation.
Audience Academic
Author Pei, Jian-Liang
Feng, Gan
Cai, Ming-Guang
He, Jiang-Da
Xiao, Ming-Li
Li, You
Wu, Jia-Ming
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Keywords underground cavern
stability prediction
neural network algorithm
back analysis
numerical simulation
safety monitoring
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– ident: 10.3846/jcem.2024.20778-39
  doi: 10.46326/JMES.2022.63(3a).06
– ident: 10.3846/jcem.2024.20778-44
  doi: 10.1016/j.tust.2020.103725
– ident: 10.3846/jcem.2024.20778-34
  doi: 10.1016/j.ijrmms.2020.104223
– ident: 10.3846/jcem.2024.20778-5
– ident: 10.3846/jcem.2024.20778-46
  doi: 10.3846/jcem.2018.1647
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Snippet The underground powerhouse of the Shuangjiangkou hydropower station is one of the largest caverns under construction in China, and its stability during...
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StartPage 264
SubjectTerms Algorithms
Analysis
back analysis
Caverns
Civil engineering
Construction
Deformation
Excavation
Fiber optics
Geological structures
Geology
Hydroelectric power
Hydroelectric power stations
Industrial plant emissions
Mechanical properties
Modulus of elasticity
Monitoring systems
neural network algorithm
Neural networks
Numerical analysis
numerical simulation
Parameters
Poisson's ratio
Rock
Rocks
safety monitoring
Simulation
Simulation methods
Stability
Stability analysis
stability prediction
Tailrace
underground cavern
Underground caverns
Water-power
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Title Back analysis and stability prediction of surrounding rock during excavation of the Shuangjiangkou underground powerhouse
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