A probabilistic method to analyze collapse failure of shallow rectangular tunnels

Zhou, Xiaoping; Huang, Xi‐Tai; Liu, Pengfei; Li, Tengfei

doi:10.1016/j.tust.2018.07.029

Cited by 53 publications

(8 citation statements)

References 34 publications

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“…There are some constitutive model in rock and soil mechanics [2,34]. When the damage parameter is not considered, the stress-strain curve is considered as strain hardening type for the pseudotriaxial test of soil [16,33].…”

Section: Damage Constitutive Model Of Claymentioning

confidence: 99%

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Stress-Strain Relationship of Clay in Dongting Lake Area Based on Three Damage Factors

Chen

Yang

et al. 2023

Geofluids

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CU test and CD test were performed to capture the stress-strain characteristics of the clay in Dongting Lake area, China. Since the classical constitutive model cannot ideally describe the strain hardening behavior of the clay, an improved constitutive model that involved three damage factors was proposed. The damage first factor D 1 , which represents elemental volume strength F , was fitted by the Weibull function. The second and third damage factors D 2 and D 3 , which represent the porosity ratio e and the drainage rate P ε respectively, were fitted by Harris function. The CD test damage model is constructed by D 1 , D 2 , and D 3 . In the CU test, the porosity ratio e is a constant value, and the drainage volume is 0, so that D 2 is constant value and D 3 is 0. Therefore, the CU test damage model of the clay was constructed using the damage first factor D 1 . In the end, the accuracy of the proposed CU/CD damage constitutive models of the clay was validated with the experimental results. It is found that the results fitted by the proposed methodology are in good agreement with the experimental results.

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Section: Damage Constitutive Model Of Claymentioning

confidence: 99%

“…During the design and construction of foundation and geotechnical structures [1][2][3], the mechanical characteristics of soil are important factors to evaluate the stability of the structures. The mechanical characteristics of soil are described by the stress-strain relationship of soil.…”

Section: Introductionmentioning

confidence: 99%

Stress-Strain Relationship of Clay in Dongting Lake Area Based on Three Damage Factors

Chen

Yang

et al. 2023

Geofluids

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“…Because the proposed tunnel section is located in the karst development area, there is karst cavern growth in the tunnel. In the construction process, Tunnel Seismic Prediction (TSP) [23][24][25] should be strengthened within 15-30 m in front of the tunnel face such as palm face advance drilling and geological radar. Monitoring and measurement procedures for surrounding rock must be strictly implemented, and the construction waste must be removed in time.…”

Section: Construction Scheme Under Special Geologicalmentioning

confidence: 99%

Pretreatment for Tunnel Karst Cave during Excavation: A Case Study of Guangxi, China

Chen

Huang

et al. 2021

Advances in Civil Engineering

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Karst landscape is a general term for earth surfaces and underground patterns that have been formed by the dissolution of soluble rock. Karst landscapes are widely distributed throughout China—particularly in the Guangxi and Guangdong provinces. The main features of karst landscapes are typically reflected in karst caverns, sinkholes, and other geographical phenomena. During tunnel construction in karst areas, various forms of karst caverns may appear on the construction route, and they can cause hazards—such as water inrush and collapse—during tunnel construction. These hazards affect the tunnel construction process. As such, it is necessary to propose a treatment for karst caverns. In this work, a case study of the tunnels on the Hechi-Baise expressway is presented. A comprehensive pretreatment method suitable for this tunnel is proposed. On the premise of prioritizing the safety and timeline of construction, an optimized treatment scheme for the karst caverns of Hebai tunnel is followed. The optimized treatment scheme primarily includes calculation of safe thickness of tunnel face, strengthening the initial support and increasing the thickness of the second lining, increasing the reserved deformation, and grouting. The proposed scheme achieved favorable results in the treatment of a karst cavern in the Hebai tunnels.

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“…F 0.05 (9,2) = 19.38 < 269.01, which indicated that the ternary quadratic regression was significant. The significance of each coefficient was determined using a t-test [29][30][31], and is listed in Table 5. t bi (i = 1,2,3 .…”

Section: Experiments Design and Multiple Regression Model Buildingmentioning

confidence: 99%

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

et al. 2020

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The dust-collection system, as the core of a sweeper vehicle, directly inhales dust particles on the pavement. The influence of variable operational conditions on particle-separation performance was investigated using computational fluid dynamics (CFD) Euler–Lagrange multiphase model. The particle-separation performance efficiency and retention time were used to evaluate the dust-collection efficiency. The uniform design (UD) and multiple regression analysis (MRA) methods were employed to predict and optimize the effects of reverse-blowing flow rate, pressure drop, and traveling speed on separation efficiency. The results indicated that the dust-collection performance initially increased and then decreased with increasing reverse-blowing flow rate. As the pressure drop increased, there was an increase in total dust-collection efficiency. However, the efficiency decreased with increasing traveling speed. The regression model showed that the proposed approach was able to predict the particle collection efficiency accurately. In addition, the optimum operational conditions were obtained, namely a reverse-blowing flow rate of 2100 m3/h, a traveling speed of 5 km/h, and a pressure drop of 2400 Pa. The maximum particle-separation efficiency was 99.10%, which showed good agreement with the experimental results.

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A probabilistic method to analyze collapse failure of shallow rectangular tunnels

Cited by 53 publications

References 34 publications

Stress-Strain Relationship of Clay in Dongting Lake Area Based on Three Damage Factors

Stress-Strain Relationship of Clay in Dongting Lake Area Based on Three Damage Factors

Pretreatment for Tunnel Karst Cave during Excavation: A Case Study of Guangxi, China

Prediction of Particle-Collection Efficiency for Vacuum-Blowing Cleaning System Based on Operational Conditions

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