Study of surface subsidence above an underground opening using a trap door apparatus

Thongprapha, Thanittha; Fuenkajorn, Kittitep; Daemen, J.J.K.

doi:10.1016/j.tust.2014.11.007

Cited by 34 publications

(12 citation statements)

References 15 publications

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“…Although numerical modelling techniques have undergone significant improvements since they were invented a few decades ago, physical modelling techniques and the monitoring devices in mining-related studies have not been significantly improved from the early models (Table 1). Only recently, a few examples of utilizing newer technologies, such as laser based measuring devices, infrared and acoustic measurement have been reported in the literature [16,[21][22][23]. It is now considered advantageous to employ some of these new measurement techniques and provide researchers with a practical and yet easy to use systematic approach for putting together the best possible combination of new and old measuring technologies for physical modelling of mining related problems.…”

Section: Improved Data Acquisition and Measurement Toolsmentioning

confidence: 99%

Application of 3D laser scanner, optical transducers and digital image processing techniques in physical modelling of mining-related strata movement

Ghabraie

Ren

Smith

et al. 2015

International Journal of Rock Mechanics and Mining Sciences

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Section: Improved Data Acquisition and Measurement Toolsmentioning

confidence: 99%

Application of 3D laser scanner, optical transducers and digital image processing techniques in physical modelling of mining-related strata movement

Ghabraie

Ren

Smith

et al. 2015

International Journal of Rock Mechanics and Mining Sciences

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“…Solving such a system of elements with multiple degrees of freedom is very difficult using classical methods from mechanics, but results can be obtained with other methods. In practical terms, the stochastic model is also limited to the behavior of the undermined rock mass or soil bound to the observation area and in some cases requires verification with physical laboratory models [28,29].…”

Section: Introductionmentioning

confidence: 99%

Surface Subsidence Prognosis above an Underground Longwall Excavation and Based on 3D Point Cloud Analysis

Pal

Rošer²,

Vulić

2020

Minerals

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Impacts of underground mining have been reduced by continuous environmental endeavors, scientific, and engineering research activities, whose main object is the behavior and control of the undermined rock mass and the subsequent surface subsidence. In the presented Velenje case of underground sublevel longwall mining where coal is being exploited both horizontal and vertical, backfilling processes and accompanying fracturing in the coal layer, and rock mass are causing uncontrolled subsidence of the surface above. 3D point clouds of the study were acquired in ten epochs and at excavation heights on the front were measured at the same epochs. By establishing a sectors layout in the observational area, smaller point clouds were obtained, to which planes were fitted and centroids of these planes then calculated. Centroid heights were analyzed with the FNSE model to estimate the time of consolidation and modified according to excavation parameters to determine total subsidence after a certain period. Proposed prognosis approaches for estimating consolidation of active subsidence and long term surface environmental protection measures have been proposed and presented. The C2C analysis of distances between acquired 3D point clouds was used for identification of surface subsidence, reclamation areas and sink holes, and for validation of feasibility and effectiveness of the proposed prognosis.

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“…Currently, subsidence prediction in single-seam mining mainly uses empirical methods, numerical modeling methods (e.g., finite element methods, finite difference methods, discrete element methods), physical modeling methods, and theoretical analysis methods (e.g., influence function methods, profile function methods) [5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

“…Jung et al [14] selected propensity and dip as two important considerations and used a settlement sensitivity prediction method to predict the ground subsidence of coal mines with complex conditions and irregular shape. Thongprapha et al [16] used a physical model to simulate the effects of underground cavern excavation on surface subsidence under supercritical conditions and concluded that the geometry of underground caverns is the main factor controlling land subsidence. Current research used conventional methods to study the subsidence and its effect factors, including depth, shape, exploitation method and so on.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining

Zhang

et al. 2019

Energies

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The purpose of mining subsidence prediction is to establish a reliable assessment for surface subsidence resulting from underground mining. In this study, a new method for predicting subsidence in two-seam mining is proposed. First, the surface subsidence due to mining the upper seam is monitored. Then, taking the subsidence data as indicators, the optimal mechanical parameters of overlying strata can be obtained by orthogonal experimental design and inverse analysis of numerical simulation. Finally, further subsidence is calculated and predicted by the numerical model. A case of two-seam underground mining is studied using this methodology. This coal mine is located in the Dongsheng coal field in Inner Mongolia, China. Based on GPS surface subsidence monitoring and parameter inversion, the subsidence induced by two-seam mining is estimated and predicted. This study shows that the ratio of the height of overlying strata to mining thickness (H/M), mining configuration and adjacent mining have a significant effect on the surface subsidence caused by two-seam mining. By parameter inversion, the proposed optimal parameters can be applied to predict the subsidence of a nearby mine with similar stratigraphic conditions. Furthermore, this methodology can also be used to predict the subsidence caused by mining of more than two seams.

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Study of surface subsidence above an underground opening using a trap door apparatus

Cited by 34 publications

References 15 publications

Application of 3D laser scanner, optical transducers and digital image processing techniques in physical modelling of mining-related strata movement

Application of 3D laser scanner, optical transducers and digital image processing techniques in physical modelling of mining-related strata movement

Surface Subsidence Prognosis above an Underground Longwall Excavation and Based on 3D Point Cloud Analysis

A Comprehensive Method for Subsidence Prediction on Two-Seam Longwall Mining

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