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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Veröffentlicht in:	Journal of civil engineering and management Jg. 30; H. 3; S. 264 - 278
Hauptverfasser:	Li, You, Xiao, Ming-Li, Feng, Gan, Cai, Ming-Guang, Wu, Jia-Ming, Pei, Jian-Liang, He, Jiang-Da
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vilnius Vilnius Gediminas Technical University 01.03.2024
Schlagworte:	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
Author_xml	– sequence: 1 givenname: You surname: Li fullname: Li, You organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China – sequence: 2 givenname: Ming-Li surname: Xiao fullname: Xiao, Ming-Li organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China – sequence: 3 givenname: Gan surname: Feng fullname: Feng, Gan organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China – sequence: 4 givenname: Ming-Guang surname: Cai fullname: Cai, Ming-Guang organization: Sinohydro Bureau 7 Co., LTD, Chengdu, China – sequence: 5 givenname: Jia-Ming surname: Wu fullname: Wu, Jia-Ming organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China – sequence: 6 givenname: Jian-Liang surname: Pei fullname: Pei, Jian-Liang organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China – sequence: 7 givenname: Jiang-Da surname: He fullname: He, Jiang-Da organization: State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China
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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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