scholarly journals Analytical Solution of Seepage Field in Karst Tunnel

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Chong Jiang ◽  
Han-song Xie ◽  
Jia-li He ◽  
Wen-yan Wu ◽  
Zhi-chao Zhang
Keyword(s):  
Analytical Solution ◽  
Permeability Coefficient ◽  
Complex Function ◽  
Great Influence ◽  
Pressure Head ◽  
Seepage Flow ◽  
Seepage Field ◽  
Karst Tunnel ◽  
Lining Structure ◽  
Initial Support

An analytical solution for the seepage field in water-filled karst tunnel is derived based on the inversion of complex function and groundwater hydraulics theory. The solution considers the distance between the tunnel and the cavern, the size of the cavern, and the properties of the lining structure, such as the permeability coefficient as well as the radius of the grouting ring. This paper also performed numerical simulations for two cases: the application of gravity and the absence of gravity. The numerical solution was obtained to verify the analytical solution, and a good agreement was found. Then, the effect of parameters is discussed in detail, including the distance between the tunnel and the cavern, the radius of the cavern, the grouting ring, and the initial support. The results show that when the radius of the cavern is constant, the pressure head and seepage flow decrease as the distance between the tunnel and the cavern increases. When the distance is constant, the pressure head and seepage flow increase with the increase of the radius of the cavern. In addition, the pressure head and the seepage flow decrease with the increase of the thickness of the grouting ring and decrease with the decrease of the permeability coefficient. As the thickness of the initial support increases, the pressure head gradually increases and the percolation decreases. Furthermore, due to the great influence of the grouting ring and initial support on the pressure head and seepage flow, the thickness and permeability coefficient of the grouting ring and initial support should be taken into account carefully during construction.

scholarly journals Sensitivity analysis of seepage field in groundwater reservoir based on orthogonal test method

2020 ◽  
Vol 194 ◽  
pp. 05019
Author(s):  
Jiahuan HE ◽  
Dong LEI ◽  
Yue ZHANG ◽  
Xin GAO ◽  
Xiaoyu WANG
Keyword(s):  
Sensitivity Analysis ◽  
Permeability Coefficient ◽  
Orthogonal Experiment ◽  
Great Influence ◽  
Maximum Flow ◽  
Seepage Flow ◽  
Test Method ◽  
Seepage Field ◽  
Finite Element Software ◽  
Underground Dam

Based on the ADINA-T finite element software, the effects of different underground dam depths, widths and permeability coefficients on the seepage field in the underground reservoir were studied. Based on the sensitivity analysis and calculation of the three parameters of the underground dam based on the orthogonal experiment method, the depth and permeability coefficient of the underground dam have a significant effect on the sensitivity of the groundwater level drop height in front of the dam, the width and the permeability coefficient have a significant effect on the maximum flow velocity, and depth has great influence on seepage flow.

Analytical Solution for Contaminant Extraction Using Well Injection Depth Extraction Technology Considering the Effect of Smear Zone

2014 ◽  
Vol 580-583 ◽  
pp. 560-565
Author(s):  
Heng Yu Wang ◽  
Xiao Wu Tang ◽  
Peng Lu Gan
Keyword(s):  
Analytical Solution ◽  
Great Influence ◽  
Seepage Flow ◽  
Injection Rate ◽  
Extraction Technology ◽  
Vertical Drains ◽  
Fine Grained ◽  
Depth Extraction ◽  
Fine Grained Soil ◽  
Injection Depth

The smear zones are usually caused by the installation of vertical drains in fine-grained soil. An analytical solution for contaminant extraction using well injection depth extraction (WIDE) system considering the smear effect was developed. The injection rate was assumed to be equal to the retrieval rate to maintain full saturation and steady-state seepage flow. The results obtained by the proposed analytical solution agree well with those obtained from the finite element method. An illustrative example was presented to show the influence of the smear zones and results reveal that the smear zone can have a great influence on the contaminant extraction from soils. The 500-hour base concentration of acetone in the middle of the contaminated soil increases by a factor of approximately 1.9 when the effect of the smear zone is considered in the model.

Numerical Simulation of Coupled Rainfall and Temperature of Unsaturated Soils

2006 ◽  
Vol 306-308 ◽  
pp. 1433-1438 ◽  
Author(s):  
Ji Chao Sun ◽  
Quan Chen Gao ◽  
Hai Biao Wang ◽  
Ying Ming Li
Keyword(s):  
Numerical Simulation ◽  
Porous Medium ◽  
Diffusion Coefficient ◽  
Pore Pressure ◽  
Permeability Coefficient ◽  
Unsaturated Soils ◽  
Great Influence ◽  
The Sun ◽  
Seepage Field ◽  
And Diffusion

As a kind of porous medium made of grains, water and air, under some transfer influences, the soil in some certain atmosphere circumstances has the transfer of heat, water and air, which leads to people’s interesting. The change of temperature influences engineering, such as soils’ consolidation, expansion, grains’ force and pore pressure and so on. The paper gives a coupled numerical simulation of atmosphere rain, temperature of soils and gives the correlation between rain and temperature in unsaturated soils. The different clock of the rain begin in day little influences seepage field, due to the superficial part the sun influences; otherwise the temperature has an great influence on the permeability coefficient and diffusion coefficient.

Analysis on Sensitivity of Permeability Coefficients of Factors in Non-Uniform Seepage Field

2013 ◽  
Vol 353-356 ◽  
pp. 2586-2590
Author(s):  
Shi Jiang Zhu ◽  
Guo Xin Yan
Keyword(s):  
Numerical Model ◽  
Permeability Coefficient ◽  
Seepage Flow ◽  
Hydropower Station ◽  
Key Factors ◽  
Seepage Field ◽  
Factors Affecting ◽  
Permeability Coefficients ◽  
Physical Quantities ◽  
Determining Factor

Permeability coefficient is the determining factor for physical quantities in the seepage field, which can affect the distribution of all physical quantities including seepage flow. It took a hydropower station tail race as an object, founded FEM numerical model, analyzed the influence of permeability coefficients of cut-off wall and bedrock in non-uniform seepage and got the key factors affecting seepage flow. It provides the references in theory for design and construction of the tailrace.

scholarly journals Analytical Solution for the Steady-State Karst Water Inflow into a Tunnel

Geofluids ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Han-song Xie ◽  
Chong Jiang ◽  
Jia-li He ◽  
Hai-xia Han
Keyword(s):  
Analytical Solution ◽  
Permeability Coefficient ◽  
Numerical Models ◽  
Pressure Head ◽  
Water Inflow ◽  
Karst Water ◽  
Infinite Plane ◽  
Inversion Transformation ◽  
Center Distance ◽  
Good Agreement

An analytical solution for the karst water inflow into a lined tunnel in an infinite plane is derived based on conformal mapping. The new solution considers the center distance between the tunnel and the cavern, the radii of the tunnel and the cavern, and the property of the lining, such as the permeability coefficient as well as the lining radius. Numerical models are established and calculated using the finite difference software FLAC3D to compare with the analytical solution of inversion transformation, and a good agreement is found. Then, the parameters of effect are discussed in detail. The results indicate that the karst water inflow shows a curve relationship as the radius of tunnel increase and increases as the lining becomes thinner or the permeability coefficient of the lining increases. Moreover, the pressure head decreases as the tunnel radius and the center distance between the tunnel and the cavern increase.

scholarly journals Karst Aquifer Water Inflow into Tunnels: An Analytical Solution

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Chong Jiang ◽  
Haixia Han ◽  
Hansong Xie ◽  
Jing Liu ◽  
Zhao Chen ◽  
...  
Keyword(s):  
Analytical Solution ◽  
Permeability Coefficient ◽  
Water Pressure ◽  
Karst Aquifer ◽  
Seepage Force ◽  
Finite Element Software ◽  
Reduction Coefficient ◽  
Pressure Water ◽  
Initial Support ◽  
Secondary Lining

This study gives two new analytical solutions to the tunnel by high-pressure water in the cavern. Firstly, it deals with the analytical solution for the seepage inflow in unsupported karst aquifer tunnels considering the boundary condition. Secondly, it focuses on the study of the seepage force and gives the reduction coefficient of lining water pressure. A comparison of the analytical solution and the finite element software shows a curve relationship as the relevant permeability coefficient β increases. The results show that the analytical solution and numerical solution are consistent. As d increases, β decreases gradually. β increases as r w increases or the grouting circle and initial support become thinner or the secondary lining becomes thicker. In summary, the analytical solution of β can be used to predict the seepage inflow and the seepage force of the actual engineering.

Groundwater flow simulation and its application in GaoSong ore field, China

2018 ◽  
Vol 10 (2) ◽  
pp. 276-284 ◽  
Author(s):  
Gang Chen ◽  
Shiguang Xu ◽  
Chunxue Liu ◽  
Lei Lu ◽  
Liang Guo
Keyword(s):  
Numerical Model ◽  
Flow Field ◽  
Groundwater Flow ◽  
Mine Water ◽  
Permeability Coefficient ◽  
Water Inrush ◽  
Seepage Field ◽  
Groundwater Seepage ◽  
Calculation Results ◽  
Groundwater Flow Field

Abstract Mine water inrush is one of the important factors threatening safe production in mines. The accurate understanding of the mine groundwater flow field can effectively reduce the hazards of mine water inrush. Numerical simulation is an important method to study the groundwater flow field. This paper numerically simulates the groundwater seepage field in the GaoSong ore field. In order to ensure the accuracy of the numerical model, the research team completed 3,724 field fissure measurements in the study area. The fracture measurement results were analyzed using the GEOFRAC method and the whole-area fracture network data were generated. On this basis, the rock mass permeability coefficient tensor of the aquifer in the study area was calculated. The tensor calculation results are used in the numerical model of groundwater flow. After calculation, the obtained numerical model can better represent the groundwater seepage field in the study area. In addition, we designed three different numerical models for calculation, mainly to explore the influence of the tensor assignment of permeability coefficient on the calculation results of water yield of the mine. The results showed that irrational fathom tensor assignment would cause a significant deviation in calculation results.

scholarly journals Evolution Pattern and Matching Mode of Precursor Information about Water Inrush in a Karst Tunnel

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1579
Author(s):  
Jie Song ◽  
Diyang Chen ◽  
Jing Wang ◽  
Yufeng Bi ◽  
Shang Liu ◽  
...  
Keyword(s):  
Rock Mass ◽  
Stress Field ◽  
Displacement Field ◽  
Water Inrush ◽  
Seepage Field ◽  
Karst Tunnel ◽  
Rock Mass Structure ◽  
Evolution Pattern ◽  
Water Blocking ◽  
Precursor Information

The water inrush of the Shangjiawan karst tunnel is used to study the evolution pattern of precursor water inrush information in water-filled caves and to further reveal the matching mode of the information. The three-dimensional numerical method FLAC3D was used to simulate the evolution process of water inrush after damage to a water-blocking rock mass structure in a water-filled cave and to obtain the evolution pattern of precursor water-inrush information caused by the damage. The results show that the multifield response to the characteristic precursor information of the water-inrush pattern after the fracture of the water-blocking rock mass follows the order of stress-field displacement-field seepage-field. Further, the matching pattern of the information shows that the stress field increased first and then decreased, the displacement field always increased, and the seepage field increased first and then decreased.

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