Tunnel face stability in cohesion-frictional soils considering the soil arching effect by improved failure models

Zou, Jinfeng; Chen, Guanghui; Qian, Ze-Hang

doi:10.1016/j.compgeo.2018.10.014

Cited by 143 publications

(19 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(18) 1 2 j jo js w k w k w = + (19) …where w jo and w js is the objective weight and subjective weight of evaluation index I j respectively, and k 1 and k 2 are weight distribution.…”

Section: Combination Weighting Methodsmentioning

confidence: 99%

Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

Wang¹,

Li²,

Cheng³

et al. 2020

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…(18) 1 2 j jo js w k w k w = + (19) …where w jo and w js is the objective weight and subjective weight of evaluation index I j respectively, and k 1 and k 2 are weight distribution.…”

Section: Combination Weighting Methodsmentioning

confidence: 99%

Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

Wang¹,

Li²,

Cheng³

et al. 2020

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

“…It is also applied to the stability analysis of slope engineering. This paper constructs a 3D failure model suitable for the tunnel face reinforced by bolts based on the curvilinear conic failure model established by Michalowski. It is a classical 3D failure mechanism for slope stability analysis and inspired many subsequent researches (Yang and Yin, 2004;Yang and Yin, 2010;Yang and Huang, 2011;Yang and Wang, 2011;Karray et al, 2018;Zou et al, 2019;Li et al, 2021;Zhang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Stability of Tunnel Face Reinforced by Bolts under Seepage Flow Conditions

Liu

2021

KSCE J Civ Eng

View full text Add to dashboard Cite

This paper proposed a calculation method for bolts reinforcement of tunnel face under the seepage condition. The existence of seepage in tunnel engineering may greatly reduce the stability of tunnel face, and bolts reinforcement technology is widely used in traditional tunnel engineering. In this paper, a 3D rotational failure mechanism is proposed by the kinematics method combined with the discretization technique. The pore water pressure was added in the energy calculation based on the empirical distribution formula of water head. The interaction between soil and bolts is simulated by using a finite thickness interaction region. The method was compared with the published works in order to verify the effectiveness. The influence of the bolt length, the bolt strength, the hydraulic head size, the face height and the soil parameters are given in the form of some graph. Tunnel face Stability Reinforcement Bolts Kinematic upper-bound approach Seepage flow CORRESPONDENCE Lili Liu

show abstract

“…Afterward, the study on stability analysis of tunnel has drawn the attention of many scholars (Huang et al 2017;Yang et al 2017). However, the common analytical approaches can be concluded as theoretical solution (Fraldi and Guarracino 2011;Sahoo and Kumar 2012;Ibrahim et al 2015;Huang et al 2017;Yang et al 2017;Li et al 2019;Zou et al 2019), numerical simulation (Wilson et al 2013;Senent and Jimenez 2015;Zhang et al 2015a;Ukritchon et al 2017), and physical test (Jeon et al 2004; Responsible Editor: Zeynal Abiddin Erguler Idinger et al 2011;Zhang et al 2014;Soranzo et al 2015). And the issues mainly focus on limit support pressure, factor of safety, and failure mode of collapse.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of collapse in mountain tunnels and software development

Wang

Cheng

2020

Arab J Geosci

View full text Add to dashboard Cite

As most frequent geological hazard, the collapse is a great threat to safe construction of tunnels. The risk assessment method for collapse in mountain tunnels was presented with six evaluation indices, including surrounding rock level I 1 , rock mass integrity I 2 , buried depth I 3 , bias angle I 4 , groundwater I 5 , and construction factors I 6 . According to the non-linear relationship between the collapse and its influencing factors, the synthetic attribute assessment model was improved based on the concept of normal distribution. The weight of each index consisted of two parts: the subjective weight obtained by analytic hierarchy process (AHP) and the objective weight determined by correlation analysis. The Mountain Tunnel Collapse Risk Assessment System (TCAS) was developed based on Visual Studio 2012 and C# programming language. The TCAS was applied to assess the collapse risk of Hongyansi tunnel from Baoyi to Yichang expressway (Xiangyang section). The result was a good agreement with actual excavation situation that a "closed door" collapse happened. Therefore, the software system can not only accurately assess the risk level of collapse but also will play an important role in rapid assessment in the whole process of tunnel construction.

show abstract

Tunnel face stability in cohesion-frictional soils considering the soil arching effect by improved failure models

Cited by 143 publications

References 36 publications

Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

Dynamic Risk Assessment Method of Tunnel Collapse Based on Attribute Interval Assessment Model and Application

Stability of Tunnel Face Reinforced by Bolts under Seepage Flow Conditions

Risk assessment of collapse in mountain tunnels and software development

Contact Info

Product

Resources

About