Using the Schwarz Alternating Method to Identify Critical Water‐Resistant Thickness between Tunnel and Concealed Cavity

Guo, Jiaqi; Chen, Jianxun; Fan, Chuanjie; Huang, Shanxiu; Wang, Hongyu

doi:10.1155/2018/8401482

Cited by 7 publications

(6 citation statements)

References 47 publications

(45 reference statements)

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“…When tensile failure is used as the control condition, Equation (2) is the formula for calculating the effective against-inrush thickness. Equations (3) and (4) are the calculation formulas under shear failure (Guo et al 2018). 1.…”

Section: Calculation Principle Of Reliability Methodsmentioning

confidence: 99%

Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network

Wang

Olgun

et al. 2020

Geomatics, Natural Hazards and Risk

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In order to evaluate the risk level of water inrush caused by karst cave accurately and effectively, a novel quantitative assessment model was established based on the reliability theory and genetic algorithm-back propagation (GA-BP) neural network. First, the reliability theory and the calculation formula of the minimum safe thickness were used to calculate the water inrush probability. Second, the GA-BP neural network was applied to predict the disaster consequence caused by water inrush. Six factors, including water pressure, hydraulic supply, type of gap, filling situation, degree of water enrichment and reserves of cave, were selected as the input layer of the neural network. The disaster consequence was selected as the output layer. Similar projects were screened to obtain statistical information for indices, and the Normand function in MATLAB was used to transform the information into quantitative data. Finally, the model was established by combining the probability and disaster consequence of water inrush. The 602cave in Yesanguan tunnel was taken as an engineering sample to verify the feasibility of the novel model. The obtained results showed that the proposed model is comprehensive and accurate in quantitative assessment, which has good application prospects in engineering.

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Section: Calculation Principle Of Reliability Methodsmentioning

confidence: 99%

Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network

Wang

Olgun

et al. 2020

Geomatics, Natural Hazards and Risk

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“…e reliability of numerical calculation largely depends on the establishment of a computational model; that is, the reliability and rationality depend on the selection of rock mechanical parameters and boundary conditions [12][13][14]. Figure 2 after a certain rotation.…”

Section: Finite Element Simulation Scheme and Modelmentioning

confidence: 99%

Numerical Calculation Analysis of the Structural Stability of Cemented Fill under Different Cement‐Sand Ratios and Concentration Conditions

Zhao

Yan

et al. 2018

Advances in Civil Engineering

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The effect of lime-sand ratio and slurry concentration on the mechanical properties of backfills is important. To achieve green and high-efficiency mining, accurately determining the optimum ratio of cemented tailings for certain tungsten tailings and ensuring the safety and stability of the mine stope structure are important. The cement-sand ratios used in this research were 1 : 6 and 1 : 8. The mechanical properties were evaluated by using 68%, 72%, and 78% of tailing cemented filling materials. The corresponding physical and mechanical parameters were obtained through uniaxial compression, splitting, and shearing mechanical experiments on the backfill specimens. FLAC3D was used to investigate the mechanical properties of cement-filled pillars and the stability of supporting surrounding rocks on the basis of the mine’s current room pillar structure size parameters and mining sequence. The key factors that affect the stability of the goaf were analyzed by evaluating the plastic zone area of the stope, maximum and minimum principal stresses, and displacement change. The structural characteristics of stope structures and changes of rock mass damage were obtained under different cement-tailing ratios and concentrations. A cemented backfill with a cement-tailing ratio of 1 : 8 and a concentration of 68% was selected as the best solution for the mine in terms of safety and economic considerations.

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“…Fu et al [16] deduced the formula for calculating the minimum safe thickness of the karst cave below the excavation tunnel. Guo et al [17] used a theoretical analysis method to study the stability of the outburst prevention rock mass between the tunnel and the latent cavity. Te above instability criterion based on theoretical analysis can only be used to judge the rock stability in the fnal stage of the water inrush of karst tunnels.…”

Section: Introductionmentioning

confidence: 99%

Study on Catastrophe Information Characteristics of Water Inrush in Karst Tunnel by Drilling and Blasting Method

Guo

Wang

Lai

et al. 2022

Advances in Civil Engineering

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When building tunnels in karst areas, the hidden high-pressure water-bearing karst caves are prone to cause geological disasters such as water inrush and mud gushing. In order to study the disaster process of water and mud resistant rock mass with the quasi-masonry structure and the accompanying catastrophe information of water inrush in karst tunnels by the drilling and blasting method, a new method based on the DEM and fictitious joint technology is adopted to simulate the evolution process of water inrush and study the evolutionary characteristics of catastrophe information like seepage pressure and displacement under the conditions of different joint inclination angles, tunnel depths, and thickness of the water and mud resistant rock mass. The research results show that (1) the seepage pressure and displacement in the water and mud resistant rock mass decrease and increase respectively along the water and mud resistant rock mass from top to bottom in the process of water inrush. (2) The displacement and seepage pressure in the water and mud-resistant rock mass increases with the increase of the joint inclination angle. The greater the tunnel depth and thickness of the water and mud-resistant rock mass, the faster the propagation speed of the fissure zone. (3) With the increase of the water and mud-resistant rock mass thickness, the failure mode of the tunnel outburst layer structure gradually changes from the overall collapse to the partial collapse of the vault to form a relatively stable slump arch. The research results can provide some guidance for tunnel construction in the karst tunnel.

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Using the Schwarz Alternating Method to Identify Critical Water‐Resistant Thickness between Tunnel and Concealed Cavity

Cited by 7 publications

References 47 publications

Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network

Risk assessment of water inrush caused by karst cave in tunnels based on reliability and GA-BP neural network

Numerical Calculation Analysis of the Structural Stability of Cemented Fill under Different Cement‐Sand Ratios and Concentration Conditions

Study on Catastrophe Information Characteristics of Water Inrush in Karst Tunnel by Drilling and Blasting Method

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