Deformation Analysis of Large-Scale Rock Slopes Considering the Effect of Microseismic Events

Dong, Linlu; Yang, Ying; Qian, Bo; Tan, Yaosheng; Sun, Hailong; Xu, Nuwen

doi:10.3390/app9163409

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…If the trend tends to increase, it indicates that stress accumulation occurs in this area, indicating an increase in the rock mass instability and increased risk of rockburst disasters. Zhang et al [57] studied the microseismic evolution characteristics of an underground powerhouse during excavation and found that the apparent stress of the surrounding rock increased significantly before the appearance deformation. Ma et al [58] established an EMS method for rockburst prediction using a combination of seismic energy, seismic moment, and apparent stress.…”

Section: Apparent Stressmentioning

confidence: 99%

Review on Early Warning Methods for Rockbursts in Tunnel Engineering Based on Microseismic Monitoring

et al. 2021

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Due to the different geological conditions and construction methods associated with different projects, rockbursts in deep-buried tunnels often present different precursor characteristics, bringing major challenges to the early warning of rockbursts. To adapt to the complexity of engineering, it is necessary to review the latest advancements in rockburst early warning and to discuss general early warning methods. In this article, first, microseismic monitoring and localization methods applicable under tunneling construction are reviewed. Based on the latest engineering examples and research progress, the microseismic evolution characteristics of the rockburst formation process are summarized, and the formation process and mechanism of structure-type and delayed rockbursts are analyzed. The different methods for predicting the risk and level of rockbursts using microseismic indices are reviewed, and the implementation methods and application cases for predicting potential rockburst areas and rockburst probability based on a mechanical model are expounded. Finally, combined with the new practice in early warning methods, development directions for the early warning of rockbursts are put forward.

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Section: Apparent Stressmentioning

confidence: 99%

Review on Early Warning Methods for Rockbursts in Tunnel Engineering Based on Microseismic Monitoring

et al. 2021

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“…A geomechanical model containing various faults and weak structural planes was established, while a numerical simulation was conducted under normal water load condition through FLAC3D processing to analyze the slope stability [33][34][35][36][37][38]. To research the macroscopic deformation of the left bank slope of the Baihetan Hydropower Station in Southwestern China, the unloading deformation of the left bank abutment rock mass was studied through FLAC numerical calculations [39].…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis and Deformation Mechanism Study on an Excavated High‐Steep Slope of a Hydropower Station

Shi

Wang

et al. 2020

Advances in Civil Engineering

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The high-steep rock slope stability is one of the key technologies in the construction of water conservancy and hydropower projects, which affects and restricts the development of hydraulic resources and the construction of hydropower projects. In this paper, a three-dimensional numerical model was built incorporating stratigraphy, geological structures, and the inverted rock mechanical parameters to perform displacement, stress, and plastic zone analyses for an excavated slope in China using the FLAC3D software. The numerical simulation results after slope excavation show that the deformation near the fault fracture zone is the largest, ranging from 350 mm to 380 mm. The compressive stress is concentrated on the slope foot and the connecting part, the stress value is 2 MPa∼5 MPa, there is a large tensile stress area in the slope, and the tensile stress value is 0 MPa∼0.4 MPa. The plastic zone of the slope is concentrated near the fault F6 and the structural influence zone, and the rock mass of the slope basically enters the plastic state. On this basis, the deformation mechanism of slope was analyzed, while the internal and external factors affecting the slope deformation were described in detail. This work would provide an effective reference basis for slope stability evaluation and treatment of similar hydropower stations.

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“…The calculation of the FOS first depends on the limit equilibrium method (LEM), which is based on statistics [6][7][8]. Then, the finite element method (FEM) is used to calculate the FOS to provide detailed stress and strain information [9][10][11][12][13][14][15]. However, both the LEM and FEM can only be used before failure, and cannot show the post-failure behavior of a sliding mass because LEM cannot calculate strain and displacement, and FEM has limitations when it comes to large-deformation analysis.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

Peng

Song

et al. 2019

Applied Sciences

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Forecasting the occurrence potential of landslides is important but challenging. We aimed to forecast the failure potential of the Helong landslide, which is temporarily stable but has clearly deformed in recent years. To achieve the goal, we used reconnaissance, remote sensing, drilling, laboratory tests, topographical analysis, and electrical resistivity tomography (ERT). The factor of safety (FOS) of the slope was first calculated using a limit equilibrium method. The results show the FOS of the slope was 1.856 under natural conditions, 1.506 under the earthquake conditions, 1.318 under light rainfall, 0.986 under heavy rainfall, 1.075 under light rainfall and earthquake, and 0.832 under simultaneous heavy rainfall and earthquake. When the FOS is less than 1.35, the slope is considered metastable according to the Technical Code for Building Slope Engineering (GB50330-2013) published by the Chinese Ministry of Housing and Urban-Rural Development. Based on the drilling data and digital elevation data, a three-dimensional discrete element method (DEM) model was used to simulate potential landslides. The simulation was used to examine catastrophic slope failure under heavy rainfall conditions within a range of friction coefficients and the corresponding affected areas were determined. Then, we analyzed a typical run-out process. The dynamic information of the run-out behavior, including velocity, run-out distance, and depth, were obtained, which is useful for decision support and future landslide hazard assessment.

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Deformation Analysis of Large-Scale Rock Slopes Considering the Effect of Microseismic Events

Cited by 5 publications

References 18 publications

Review on Early Warning Methods for Rockbursts in Tunnel Engineering Based on Microseismic Monitoring

Review on Early Warning Methods for Rockbursts in Tunnel Engineering Based on Microseismic Monitoring

Numerical Analysis and Deformation Mechanism Study on an Excavated High‐Steep Slope of a Hydropower Station

Forecasting Landslides via Three-Dimensional Discrete Element Modeling: Helong Landslide Case Study

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