Excavation Optimization and Stability Analysis for Large Underground Caverns Under High Geostress: A Case Study of the Chinese Laxiwa Project

Jiang, Quan; Su, Guoshao; Feng, Xia‐Ting; Chen, Guoqing; Zhang, Mei-zhu; Liu, Chang

doi:10.1007/s00603-018-1605-z

Cited by 100 publications

(36 citation statements)

References 78 publications

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“…Each block was divided into 3-6 deformation units (called as Zone), and the model was divided into 10659 discrete element blocks and 123466 deformation units. e Mohr-Coulomb criterion was adopted in the calculation model, in which the bottom was fixed, the normal horizontal displacement was restricted in the lateral direction, and the top was the ground surface [19]. e physical and mechanical parameters of the model are shown in Table 2.…”

Section: Roof Instability Characteristics Analysis Through Numerical mentioning

confidence: 99%

Mechanical Modeling of Roof Fracture Instability Mechanism and Its Control in Top‐Coal Caving Mining under Thin Topsoil of Shallow Coal Seam

Gong

Zhao

Yetilmezsoy

et al. 2019

Advances in Civil Engineering

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This study aimed to explore the safe and efficient top-coal caving mining under thin topsoil of shallow coal seam (SCS) and realize the optimization of hydraulic support. Numerical simulation and theoretical analysis were used to reveal the stress distribution of the topsoil, the structure characteristics of the main roof blocks, and the development of the roof subsidence convergence. Step subsidence of the initial fractured main roof after sliding destabilization frequently existed, which seriously threatened the safety of the hydraulic supports. Hence, a mechanical model of the main roof blocks, where the topsoil thickness was less than the minimum height of the unloading arch, was established, and the mechanical criterion of the stability was achieved. The working resistance of the hydraulic support was calculated, and the reasonable type was optimized so as to avoid crushing accident. Findings of the present analysis indicated that the hydraulic support optimization was mainly affected by fractured main roof blocks during the first weighting. According to the block stability mechanical model based on Mohr–Coulomb criterion, the required working resistance and the supporting intensity were determined as 4899 kN and 0.58 MPa, respectively. The ZZF5200/19/32S low-position top-coal caving hydraulic support was selected for the studied mine and support-surrounding rock stability control of thin-topsoil SCS could be achieved without crushing accident.

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Section: Roof Instability Characteristics Analysis Through Numerical mentioning

confidence: 99%

Mechanical Modeling of Roof Fracture Instability Mechanism and Its Control in Top‐Coal Caving Mining under Thin Topsoil of Shallow Coal Seam

Gong

Zhao

Yetilmezsoy

et al. 2019

Advances in Civil Engineering

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“…Split Hopkinson pressure bar (SHPB) equipment has become the most effective device to test the dynamic tensile strength and deformation properties of rock at high strain rates [13][14][15][16]. In recent years, researchers have shown an increased interest in dynamic tensile tests on rock, which have acquired plenty of achievements [17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Coupled Static‐Dynamic Tensile Mechanical Properties and Energy Dissipation Characteristic of Limestone Specimen in SHPB Tests

Ping

Fang

et al. 2020

Advances in Civil Engineering

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To investigate the dynamic splitting tensile mechanical property of limestone under coupled static and dynamic state, the dynamic split tensile tests of limestone under one-dimensional coupled static and dynamic load with different strain rates were performed with the help of modified split Hopkinson pressure bar (SHPB) equipment. The dynamic splitting tensile mechanical property and energy dissipation characteristic under two stress states were also compared in this research. Test results indicated that the dynamic tensile strength of the limestone specimen increased with the increase of average strain rate, exhibiting an obvious strain rate effect. In addition, dynamic tensile strength under uniaxial state was higher than that under one-dimensional coupled static and dynamic load state under the same test condition. Moreover, the deformation modulus increased with increasing average strain rate under uniaxial state, while it decreased with increasing average strain rate under coupled static and dynamic state. Both the reflected energy and absorbed energy linearly increased with increasing incident energy. The preload in the radial direction could increase the reflected energy and decrease the absorbed energy. Moreover, the transmitted energy with preload state was slightly lower than that under uniaxial state. Finally, the dynamic tensile strength of limestone specimen increased as a power function with increasing absorbed energy.

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“…Problems associated with frost damage, including lining leakage, spalling of lining, frost heave of the surrounding rock, and watering and freezing of the road surface, often render the tunnel unusable from August to September annually, significantly affecting the efficiency of the tunnel [6][7][8][9][10]. e typical engineering solution to tunnel frost damage in cold regions is laying a thermal insulation layer [11][12][13][14]. Numerous studies have been conducted on the influence of various factors on thermal insulation layer [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold‐Region Tunnels

Sun

Zhuang

et al. 2020

Advances in Materials Science and Engineering

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This study investigates the distribution of pore water on the basis of the measured mass moisture content after soaking the tunnel insulation material. This study also analyzes the influence of the distribution of pore water on the thermal conductivity of the material on the basis of this mass moisture content. Scanning images of phenolic and polyurethane insulation boards are obtained by computer tomography (CT). The gray volume moisture content (Gv) is deduced based on the CT scanning images, to determine the distribution of pore water (Gv is the ratio of the volume of the water sample (represented by the gray value) to the volume of the saturated water sample (represented by the gray value) which is the gray volume moisture content of the sample). The correlation between gray volume moisture content and mass moisture content is determined by comparing different algorithms of gray volume moisture content and volume moisture content. The relationship between mass moisture content and thermal conductivity can be determined using a self-made quasi-steady-state tester, whereas the relationship between gray volume moisture content and thermal conductivity can be derived indirectly. Related experimental research can predict the thermal conductivity of thermal insulation materials by using a new perspective and shows the influence of pore water distribution on the thermal conductivity of materials.

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Excavation Optimization and Stability Analysis for Large Underground Caverns Under High Geostress: A Case Study of the Chinese Laxiwa Project

Cited by 100 publications

References 78 publications

Mechanical Modeling of Roof Fracture Instability Mechanism and Its Control in Top‐Coal Caving Mining under Thin Topsoil of Shallow Coal Seam

Mechanical Modeling of Roof Fracture Instability Mechanism and Its Control in Top‐Coal Caving Mining under Thin Topsoil of Shallow Coal Seam

Coupled Static‐Dynamic Tensile Mechanical Properties and Energy Dissipation Characteristic of Limestone Specimen in SHPB Tests

Thermal Conductivity Characteristics of Thermal Insulation Materials Immersed in Water for Cold‐Region Tunnels

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