The paper aims at understanding the behavior around a shallow depth tunnel in weak rock mass. Practically such behavior is difficult to completely follow or even estimate in field. To solve the issue, the paper applied modeling using Abaqus/CAE software. In this software, finite element method was used to build a 3D model for the tunnel and its surrounding rock mass. The model was analyzed for stresses and their corresponding strains distribution in addition to displacement vectors before and after tunnel excavation. Results indicate that stresses and strains around the studied tunnel are redistributed due to tunnel excavation. The principal stresses are concentrated on tunnel floor, while shear stress at the tunnel corners. The displacement severely affect tunnel roof. It has also been found that the most affected zone is central floor portion of tunnel at a damage number of 0.75.
Shallow tunnels have numerous applications in urban areas. They are used for subsurface structures, public utilities, in addition to human transportation equipment. Recently, there is a significant increase in shallow tunnel construction worldwide due to rapid growth of human needs for transportation, intensive energy and infrastructure development besides the high cost and unavailability of land space in metropolitan cities 1. It is a major issue if these shallow tunnels are to be excavated in heavily jointed weak rock mass 2, 3, 4. The stability of such tunnels is a challenging task. For well understanding of these tunnels stability, various studies were performed before and after excavation of rock mass, including geological 5, 6 geophysical 7, geotechnical 8 applying the suitable technique for each studied parameters. Recent studies have considered numerical modelling as a technique for assessment of tunnels stability 4, 9, 10. The technique was adopted due to its relatively low cost, fastness and ability to deal with different categories of the surrounding rock mass properties 11. The numerical modelling technique also has the ability to show different responses such as stresses, strains and displacements. The shallow tunnel in weak rock mass induces both lateral and vertical disturbances, which may cause serious damages for both surface and sub surfaces structure 12, 13, 14. Prediction of stability of these tunnels is very important for safety reasons especially they are usually surrounded by weak rock mass. Therefore, this paper is mainly dealing with numerical assessment of shallow tunnel in weak rock mass.
Abaqus/CAE software has been used for this study. The tunnel 3D model with half portion has been utilized for analysis assuming symmetry around its vertical axes 9, 10. Figure 1 shows 3 D cross sectional view of a segment from the under study tunnel. The segment dimensions are assumed 50*50*50 m which represents more than three times of the tunnel dimensions. The segment dimensions were thus assumed in the light of previous finding of Verma and his co-workers where they found that at that ratio of segment to tunnel dimensions, the effect of tunnel excavation usually is usually null 15. It is clear that the tunnel is of shallow depth (17 m depth) with horseshoe shape. The horseshoe shape was selected in this study due to its practical uses for shallow engineering constructions 16. Moreover, technically, the stress distribution around horseshoe shape tunnel is better as compared to that of other shapes 10.
The model main components included: tunnel surrounding material properties and their expected constitutive behavior, initial boundary and loading conditions, in addition to mesh generation 9, 10, 17, 18, 19.
Table 1 shows the considered jointed weak rock mass properties. In the model, it has been assumed that an elasto-plastic behavior is expected. Generalized Hoek and Brown criteria is used for material model and Mohr-Coulomb failure criterion is for failure determination. The equivalent material condition is shown in Table 2. The Generalized Hoek and Brown Failure Criterion for rock mass is expressed as
![]() | (1) |
Where,
= major and minor effective principal stress,
= uniaxial compressive strength of intact rock, and
mb = reduced value of the material constant mi.
And mb is given by the following equation
![]() | (2) |
Where,
mi = Hoek-Brown rock material constant to be found from triaxial tests on rock cores.
In Equation (5) and (6), s and a are constants for the rock mass given by the following relationships.
![]() | (3) |
![]() | (4) |
Where, D = disturbance factor which depend on the rock mass has been subjected by blast damage and stress relaxation and it varies from 0 to 1.
Hoek et. al. (1980)
![]() | (5) |
The fixed boundary has been specified at the model bottom, which restrained both displacement and rotation. On the other hand, the roller boundary has been assigned by lateral movement restriction. The gravity loading has been applied in whole geometry.
In the model, meshing is developed from nodes and elements and each element and node behaves according to a prescribed linear or nonlinear stress/strain response according to applied forces or boundary condition 19. The geometry of the model is discretized into 10,000 elements (Figure 2). The stresses, strains, and displacements have observed and analyzed before and after tunnel excavation.
Figure 3 presents the principal stress distribution around the tunnel. It shows that principal stress ranges from -0.325 to +0.115 MPa. One can notice that the maximum tension is met in the tunnel floor (+0.115MPa). On the other hand, the shear stresses distribution around the tunnel is shown in Figure 4. It depicts that shear stress varies from -0.248 to +0.281 MPa. The high shear stresses are concentrated in the tunnel side corners. Generally, this types of condition occurs when the overburden is so less and the material is medium to weak condition.
The hitherto discussed stresses (either principal or shear) represent the after tunnel excavation case. However, it is of importance to compare these stresses with their original ranges before tunnel excavation especially at areas corresponding to tunnel floor, roof and its corners. This comparison is shown in Figure 5. It indicates that all stresses before excavation were compression. After excavation, stresses at the tunnel corner are still compression but with smaller values. However, stresses at tunnel roof and its floor have been changed to become tension. Higher tension stress encountered in tunnel floor (+0.115 MPa) as before excavation but under high compression. The floor stress after tunnel excavation has been changed 166 % compared to before tunnel excavation. These findings agree with previously published results regarding behaviour of weak rock mass tunnel. In 1993, Ducan reported that stress redistribution around tunnels excavated in weak rock masses may lead to failure of the tunnel if it is not well supported 20. In another investigation, Hoek (1998) showed that failure of a horseshoe shape tunnel in a highly stressed poor quality rock mass was initiated at the tunnel floor, its corners and extended to the sidewall.
3.2. Strain Distribution AnalysesFigure 6 shows the principal strain distribution around the tunnel. It shows that principal strain ranges from -8*10-10 to +1.57 *10-5. Theses strains are met in the tunnel floor, corners and its side walls. On the other hand, the shear strains distribution around the tunnel is shown in Figure 7. It depicts that shear strains varies from -3.1*10-5 to +3.51 *10-5. The high shear strains are concentrated in the tunnel bottom and top corners.
The up to moment analyses shows stresses and strains behavior around the studied tunnel. However, still one important item needed for more understanding of the tunnel stability that is the resultant displacement vector around the tunnel. This section of the paper covers that item (Figure 8). It shows that some of the tunnel elements are subjected to low resultant displacement (tunnel floor) while some other elements can suffer from a maximum of 1.23 mm resultant displacement (tunnel roof). This is due to redistribution of stresses after excavation and the creation of free faces. In addition, the design of tunnel in isotropic material model condition and stress field is assumed almost hydrostatic. In such case, tunnel shape controls the stress and deformation condition and tunnel is planner in invert so such maximum stress and deformation is observing in invert (Panthee et al. 2016a).
After analysing stresses, strains and resultant displacement around the considered tunnel, it becomes of value to understand the possible failure and damage areas in the tunnel structure. For this part of the study, the maximum principal stress theory has been considered 16, 22. According to this theory, the failure will occur when the maximum principal stress reaches the value of the strength at elastic limit of rock and tension strength is generally consider for rock failure due to weakness of rock tension compared to its principal stress (Kainthola et al. 2012; Sazid & Singh 2013; Panthee et al. 2016b). This was followed by identifying the deactivated mesh elements in the model. The failure criterion is the damage number which represents the ratio of maximum principal stress to strength of the tunnel surrounding rock mass. Thus it indicates the probability of rock mass failure 10. Different values for the damage number were considered (0.75, 0.6, 0.45, 0.3 and 0.15) and used in the tunnel model. This is the way of assessment the probability of rock failure. Abaqus/CAE has capability to deactivated element, which cross the limit of specified strength value 24.
Figure 9 (a-d) shows the failure zone of tunnel model for the different considered damage numbers. At a damage number of 0.75 (Figure 9a), the tunnel floor central part is subjected to failure. If the damage number was lowered to become 0.6 (Figure 9b), more failure is expected to occur in the tunnel floor starting from the floor centre and extending outwards. Complete failure of the tunnel floor, in addition to, some failure in the tunnel lower corners may take place if the damage number has reached 0.45 (Figure 9c). Tunnel Floor, corners and part of its side walls will fall if the damage number reached 0.3 (Figure 9d). At lowest considered damage number, 0.15 (Figure 9e and Figure 9f), failure zone covers tunnel floor, its corners and sidewalls (Figure 9e) moreover it can extend to the ground surface of the tunnel (Figure 9f). Therefore, it is recommended to make the adequate supporting systems during tunnel excavation to avoid failure.
In this paper, the stability of shallow tunnel in weak rock was numerically analyzed using Abaqus/CAE. The results showed that stresses, strains and displacements are redistributed due to tunnel excavation. The maximum principal stresses zone is in the tunnel floor, while the tunnel roof has maximum displacement vectors. Also, it has been found that at high damage numbers (0.75), failure occurs at the tunnel floor and extending outwards. With decreasing the damage number, the failure extends to the tunnel bottom corners and side walls. At low damage number approaching 0.15, failure can reach to the ground surface above the tunnel. Therefore, a supporting system becomes a must for shallow depth tunnels in weak rock mass.
[1] | Lee CJ, Wu BR, Chen HT, Chiang KH. Tunnel stability and arching effects during tunneling in soft clayey soil. Tunn Undergr Sp Technol 2006;21:119-32. | ||
In article | View Article | ||
[2] | Potts DM, Atkinson JH. Stability of a shallow circular tunnel in cohesionless soil. Géotechnique 1977; 27: 203-15. | ||
In article | View Article | ||
[3] | Chambon P, Corté J. Shallow Tunnels in Cohesionless Soil: Stability of Tunnel Face. J Geotech Eng 1994; 120: 1148–65. | ||
In article | View Article | ||
[4] | Goel RK. Tunnelling through weak and fragile rocks of Himalayas. Int J Min Sci Technol 2014; 24: 783–90. | ||
In article | View Article | ||
[5] | Melis M, Medina L, Rodríguez JM. Prediction and analysis of subsidence induced by shield tunnelling in the Madrid Metro extension. Can Geotech J 2002; 39: 1273-87. | ||
In article | View Article | ||
[6] | Sazid M. Analysis of rockfall hazards along NH-15: A case study of Al-Hada road. Int J Geo-Engineering 2019. | ||
In article | View Article | ||
[7] | Vorster TE, Klar A, Soga K, Mair RJ. Estimating the Effects of Tunneling on Existing Pipelines. J Geotech Geoenvironmental Eng 2005; 131: 1399-410. | ||
In article | View Article | ||
[8] | Sozio LE. General report: urban constraints on underground works. World Tunn. Congr., vol. 98, 1998, p. 879-97. | ||
In article | |||
[9] | Fasihnikoutalab MH, Huat BBK, Asadi A, Daneshmand S. Numerical stability analysis of tunnel by PLAXIS. Electron J Geotech Eng 2012;17 D:451-61. | ||
In article | |||
[10] | Verma AK, Singh TN. Assessment of tunnel instability-a numerical approach. Arab J Geosci 2010; 3: 181-92. | ||
In article | View Article | ||
[11] | Liao SM, Liu JH, Wang RL, Li ZM. Shield tunneling and environment protection in Shanghai soft ground. Tunn Undergr Sp Technol 2009; 24: 454-65. | ||
In article | View Article | ||
[12] | Boscardin MD, Cording EJ. Building response to excavation-induced settlement. J Geotech Eng 1989; 115: 1-21. | ||
In article | View Article | ||
[13] | Mair RJ, Taylor RN, Burland JB. Prediction of ground movements and assessment of risk of building damage due to bored tunnelling. Geotech Asp Undergr Constr Soft Gr 1996: 713-718. | ||
In article | |||
[14] | Sastry VR, Chandar KR, Madhumitha S, Sruthy TG. Tunnel Stability under Different Conditions: Analysis by Numerical and Empirical Modeling. Int J Geol Geotech Eng 2015; 1: 52-64. | ||
In article | |||
[15] | Verma AK, Bajpai RK, Singh TN, Narayan PK, Dutt A. 3D instability analysis of an underground geological repository???an Indian case study. Arab J Geosci 2011; 4: 1173-88. | ||
In article | View Article | ||
[16] | Raji M, Sitharam TG. STRESS DISTRIBUTION AROUND THE TUNNEL: INFLUENCE OF INSITU STRESS AND SHAPE OF TUNNEL. Proc Indian Geotech Conf 2011: 4. | ||
In article | |||
[17] | Sazid M, Singh TN. Two-dimensional dynamic finite element simulation of rock blasting. Arab J Geosci 2013;6:3703-8. | ||
In article | View Article | ||
[18] | Kainthola A, Singh PK, Wasnik AB, Sazid M, Singh TN. Finite element analysis of road cut slopes using Hoek and Brown failure criterion. Int J Earth Sci Eng 2012;5:1100-9. | ||
In article | |||
[19] | Sazid M, Wasnik AB, Singh PK, Kainthola A, Singh TN. A Numerical Simulation of Influence of Rock Class on Blast Performance. Int J Earth Sci Eng 2012;5:1189-95. | ||
In article | |||
[20] | Duncan Fama ME. Numerical modelling of yield zones in weak rocks. Compr Rock Eng Princ Pract Proj 1993; 2: 49-75. | ||
In article | View Article | ||
[21] | Panthee S, Singh PK, Kainthola A, Singh TN. Control of rock joint parameters on deformation of tunnel opening. J Rock Mech Geotech Eng 2016; 8: 489-98. | ||
In article | View Article | ||
[22] | Zhu Z, Li Y, Xie J, Liu B. The effect of principal stress orientation on tunnel stability. Tunn Undergr Sp Technol 2015; 49: 279-86. | ||
In article | View Article | ||
[23] | Panthee S, Singh PK, Kainthola A, Das R, Singh TN. Comparative study of the deformation modulus of rock mass. Bull Eng Geol Environ 2016:1-10. | ||
In article | |||
[24] | Sazid M, Singh TN. Numerical assessment of spacing-burden ratio to effective utilization of explosive energy. Int J Min Sci Technol 2015; 25: 291-7.. | ||
In article | View Article | ||
Published with license by Science and Education Publishing, Copyright © 2019 Mohammed Sazid and Hussin A. Ahmed
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
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[1] | Lee CJ, Wu BR, Chen HT, Chiang KH. Tunnel stability and arching effects during tunneling in soft clayey soil. Tunn Undergr Sp Technol 2006;21:119-32. | ||
In article | View Article | ||
[2] | Potts DM, Atkinson JH. Stability of a shallow circular tunnel in cohesionless soil. Géotechnique 1977; 27: 203-15. | ||
In article | View Article | ||
[3] | Chambon P, Corté J. Shallow Tunnels in Cohesionless Soil: Stability of Tunnel Face. J Geotech Eng 1994; 120: 1148–65. | ||
In article | View Article | ||
[4] | Goel RK. Tunnelling through weak and fragile rocks of Himalayas. Int J Min Sci Technol 2014; 24: 783–90. | ||
In article | View Article | ||
[5] | Melis M, Medina L, Rodríguez JM. Prediction and analysis of subsidence induced by shield tunnelling in the Madrid Metro extension. Can Geotech J 2002; 39: 1273-87. | ||
In article | View Article | ||
[6] | Sazid M. Analysis of rockfall hazards along NH-15: A case study of Al-Hada road. Int J Geo-Engineering 2019. | ||
In article | View Article | ||
[7] | Vorster TE, Klar A, Soga K, Mair RJ. Estimating the Effects of Tunneling on Existing Pipelines. J Geotech Geoenvironmental Eng 2005; 131: 1399-410. | ||
In article | View Article | ||
[8] | Sozio LE. General report: urban constraints on underground works. World Tunn. Congr., vol. 98, 1998, p. 879-97. | ||
In article | |||
[9] | Fasihnikoutalab MH, Huat BBK, Asadi A, Daneshmand S. Numerical stability analysis of tunnel by PLAXIS. Electron J Geotech Eng 2012;17 D:451-61. | ||
In article | |||
[10] | Verma AK, Singh TN. Assessment of tunnel instability-a numerical approach. Arab J Geosci 2010; 3: 181-92. | ||
In article | View Article | ||
[11] | Liao SM, Liu JH, Wang RL, Li ZM. Shield tunneling and environment protection in Shanghai soft ground. Tunn Undergr Sp Technol 2009; 24: 454-65. | ||
In article | View Article | ||
[12] | Boscardin MD, Cording EJ. Building response to excavation-induced settlement. J Geotech Eng 1989; 115: 1-21. | ||
In article | View Article | ||
[13] | Mair RJ, Taylor RN, Burland JB. Prediction of ground movements and assessment of risk of building damage due to bored tunnelling. Geotech Asp Undergr Constr Soft Gr 1996: 713-718. | ||
In article | |||
[14] | Sastry VR, Chandar KR, Madhumitha S, Sruthy TG. Tunnel Stability under Different Conditions: Analysis by Numerical and Empirical Modeling. Int J Geol Geotech Eng 2015; 1: 52-64. | ||
In article | |||
[15] | Verma AK, Bajpai RK, Singh TN, Narayan PK, Dutt A. 3D instability analysis of an underground geological repository???an Indian case study. Arab J Geosci 2011; 4: 1173-88. | ||
In article | View Article | ||
[16] | Raji M, Sitharam TG. STRESS DISTRIBUTION AROUND THE TUNNEL: INFLUENCE OF INSITU STRESS AND SHAPE OF TUNNEL. Proc Indian Geotech Conf 2011: 4. | ||
In article | |||
[17] | Sazid M, Singh TN. Two-dimensional dynamic finite element simulation of rock blasting. Arab J Geosci 2013;6:3703-8. | ||
In article | View Article | ||
[18] | Kainthola A, Singh PK, Wasnik AB, Sazid M, Singh TN. Finite element analysis of road cut slopes using Hoek and Brown failure criterion. Int J Earth Sci Eng 2012;5:1100-9. | ||
In article | |||
[19] | Sazid M, Wasnik AB, Singh PK, Kainthola A, Singh TN. A Numerical Simulation of Influence of Rock Class on Blast Performance. Int J Earth Sci Eng 2012;5:1189-95. | ||
In article | |||
[20] | Duncan Fama ME. Numerical modelling of yield zones in weak rocks. Compr Rock Eng Princ Pract Proj 1993; 2: 49-75. | ||
In article | View Article | ||
[21] | Panthee S, Singh PK, Kainthola A, Singh TN. Control of rock joint parameters on deformation of tunnel opening. J Rock Mech Geotech Eng 2016; 8: 489-98. | ||
In article | View Article | ||
[22] | Zhu Z, Li Y, Xie J, Liu B. The effect of principal stress orientation on tunnel stability. Tunn Undergr Sp Technol 2015; 49: 279-86. | ||
In article | View Article | ||
[23] | Panthee S, Singh PK, Kainthola A, Das R, Singh TN. Comparative study of the deformation modulus of rock mass. Bull Eng Geol Environ 2016:1-10. | ||
In article | |||
[24] | Sazid M, Singh TN. Numerical assessment of spacing-burden ratio to effective utilization of explosive energy. Int J Min Sci Technol 2015; 25: 291-7.. | ||
In article | View Article | ||