scholarly journals A Method of Backfill Mining Crossing the Interchange Bridge and Application of a Ground Subsidence Prediction Model

Minerals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 945
Author(s):  
Shuaigang Liu ◽  
Jianbiao Bai ◽  
Gongyuan Wang ◽  
Xiangyu Wang ◽  
Bowen Wu
Keyword(s):  
Prediction Model ◽  
Dynamic Change ◽  
Simulation Software ◽  
Surface Subsidence ◽  
Ground Subsidence ◽  
Mining Method ◽  
Subsidence Prediction ◽  
Probability Integral Method ◽  
Backfill Mining ◽  
Step Distance

The traditional backfill mining method is a technology developed by the general trend of green coal mining, but with a high cost and an impact on production efficiency. This paper proposes a structured backfill mining method with high-water materials and pillars. The evolution of roof pressure appearance is assessed through the sensor and monitoring system in the hydraulic support. The main roof fracture step distance is determined based on the roof structure characteristics of backfill mining, and the backfill step distance of underground structural backfill is 22.7 m considering the safety factor. Through the simulation results of Abaqus commercial simulation software, the roof subsidence evolution of different backfill schemes under temporary load and permanent load is compared, and the rationality of the backfill step distance is verified. Based on the probability integral method, the surface subsidence prediction model is proposed, then the final value and the maximum dynamic change value of the surface subsidence at the north and south ends of the interchange bridge by traditional mining and backfill mining are analyzed, which verifies the rationality of the structural backfill mining method.

scholarly journals Extraction of Irregularly Shaped Coal Mining Area Induced Ground Subsidence Prediction Based on Probability Integral Method

2020 ◽  
Vol 10 (18) ◽  
pp. 6623
Author(s):  
Xianfeng Tan ◽  
Bingzhong Song ◽  
Huaizhi Bo ◽  
Yunwei Li ◽  
Meng Wang ◽  
...  
Keyword(s):  
Coal Mining ◽  
Integral Method ◽  
Mesh Size ◽  
Mining Area ◽  
Ground Subsidence ◽  
Data Set ◽  
Coal Mining Area ◽  
Subsidence Prediction ◽  
Probability Integral Method ◽  
Probability Integral

Underground coal mining-induced ground subsidence (or major ground vertical settlement) is a major concern to the mining industry, government and people affected. Based on the probability integral method, this paper presents a new ground subsidence prediction method for predicting irregularly shaped coal mining area extraction-induced ground subsidence. Firstly, the Delaunay triangulation method is used to divide the irregularly shaped mining area into a series of triangular extraction elements. Then, the extraction elements within the calculation area are selected. Finally, the Monte Carlo method is used to calculate extraction element-induced ground subsidence. The proposed method was tested by two experimental data sets: the simulation data set and direct leveling-based subsidence observations. The simulation results show that the prediction error of the proposed method is proportional to mesh size and inversely proportional to the amount of generated random points within the auxiliary domain. In addition, when the mesh size is smaller than 0.5 times the minimum deviation of the inflection point of the mining area, and the amount of random points within an auxiliary domain is greater than 800 times the area of the extraction element, the difference between the proposed method-based subsidence predictions and the traditional probability integral method-based subsidence predictions is marginal. The measurement results show that the root-mean-square error of the proposed method-based subsidence predictions is smaller than 3 cm, the average of absolute deviations of the proposed method-based subsidence predictions is 2.49 cm, and the maximum absolute deviation is 4.05 cm, which is equal to 0.75% of the maximum direct leveling-based subsidence observation.

Three Dimensional Mapping of Ground Deformation Disasters Caused by Underground Coal Mining

2012 ◽  
Vol 524-527 ◽  
pp. 503-507
Author(s):  
Zhao Hui Liu ◽  
Li Cui ◽  
Tao Zhang ◽  
Qiang Liu ◽  
Er Yang Chen ◽  
...  
Keyword(s):  
Land Reclamation ◽  
Underground Mining ◽  
Ground Deformation ◽  
Three Dimensional ◽  
Google Earth ◽  
Surface Subsidence ◽  
Mining Subsidence ◽  
Ground Subsidence ◽  
Three Dimensional Mapping ◽  
Probability Integral Method

The ground subsidence and deformations caused by underground mining not only affect people’s life tremendously, but also ruin the local eco-environment. These phenomenons (disasters) should be controlled and rehabilitated. For this purpose, in this paper, the characteristic and values of surface subsidence, deformation and movements were evaluated and calculated using some kinds of technological theories and methodology such as probability integral method and so on. Based on the Google Earth image and digital relief maps as well as the predicted results and data, several types of 3D thematic maps of mining subsidence and deformation were designed and mapped in order to carry on the land reclamation or rehabilitation in the mining subsidence and deformation areas. The research results can be fitted well with the reality of surface subsidence and deformations.

scholarly journals The Prediction Model of Super Large Subsidence in High Water Table Coal Mining Areas Covered with Thick Unconsolidated Layer

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Yueguan Yan ◽  
Weitao Yan ◽  
Jibo Liu ◽  
Junting Guo
Keyword(s):  
Coal Seam ◽  
Soft Rock ◽  
Simulation Software ◽  
Surface Subsidence ◽  
Thickness Ratio ◽  
Lagrangian Analysis ◽  
Ratio Increase ◽  
Rock Stratum ◽  
Maximum Surface ◽  
Subsidence Prediction

In mining engineering, after the extraction of underground resources, the maximum surface subsidence is usually less than the mining thickness of coal seam. However, under the condition of thick loose layer, some special phenomena appear in surface subsidence, for example, the maximum surface subsidence value is greater than the mining thickness of coal seam. This special phenomenon cannot be predicted by traditional subsidence prediction methods. To solve this problem, by using the numerical simulation software Fast Lagrangian analysis of continua (Flac), we study the changing rules of subsidence with different strata lithology and unconsolidated layer thickness and reveal the formation mechanism of this law. The results show that the effect of the thick unconsolidated layer on the hard rock is greater than that of the soft rock. When the rock is soft, the unconsolidated layer moves as a whole following the bedrock during the whole mining process. The surface subsidence decreases approximately linearly with the thickness ratio increase of the unconsolidated layer to bedrock. However, when the rock is hard or medium hard, there are supporting structures formed inside the rock stratum, which has supporting effect on the overlying strata. The surface subsidence undergoes three proportional sections, first increases, then decreases, and finally increases with the thickness ratio increase of the unconsolidated layer to bedrock. Combined with these laws, based on the theory that the rock strata space can be completely compressed gradually, we derive the calculation method of surface subsidence under the condition of thick unconsolidated layer and apply it to practice. The results show that the prediction results are consistent with the actual situation and meet the engineering requirements. The research results can provide a reference for the subsidence prediction of similar conditions.

Surface dynamic subsidence prediction model of solid backfill mining

2016 ◽  
Vol 75 (12) ◽  
Author(s):  
Xiaojun Zhu ◽  
Guangli Guo ◽  
Jianfeng Zha ◽  
Tao Chen ◽  
Qi Fang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Subsidence Prediction ◽  
Backfill Mining ◽  
Solid Backfill Mining ◽  
Surface Dynamic ◽  
Dynamic Subsidence

Strata movement and surface subsidence prediction model of dense solid backfilling mining

2016 ◽  
Vol 75 (21) ◽  
Author(s):  
Qingbiao Guo ◽  
Guangli Guo ◽  
Xin Lv ◽  
Wenxin Zhang ◽  
Yikai Lin ◽  
...  
Keyword(s):  
Prediction Model ◽  
Surface Subsidence ◽  
Strata Movement ◽  
Subsidence Prediction

scholarly journals Field Measurement and Study on Overburden Fracture and Surface Subsidence Law of Solid Filling Mining under Buildings

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Zhiyong Fu ◽  
Lujie Zhou ◽  
Kai Yu ◽  
Wanzhen Li ◽  
Hu Chen
Keyword(s):  
Prediction Model ◽  
Surface Subsidence ◽  
Integral Model ◽  
Mine Pressure ◽  
Parameter System ◽  
Pressure Monitoring ◽  
Subsidence Prediction ◽  
Movement Characteristics ◽  
Probability Integral ◽  
Mining Height

In order to predict the surface subsidence scientifically in solid filling mining, it is necessary to establish a complete subsidence prediction model and parameter system according to the evolution law of overburden structure and strata movement characteristics. Mine pressure monitoring and borehole peeping show that the overburden in solid filling mining is mainly a bending zone with relatively complete layered structure, and the overburden only develops a certain height of fault zone near the roof, without collapse. The results show that the surface subsidence pattern of solid filling mining can still be described by probability integral model, and the parameter system of the surface subsidence prediction model based on “equivalent mining height” is further discussed. Finally, the prediction model of surface subsidence established in this paper is applied to an engineering example, and good results are achieved.

scholarly journals Improving Reliability of Prediction Results of Mine Surface Subsidence of Northern Pei County for Reusing Land Resources

2020 ◽  
Vol 10 (23) ◽  
pp. 8385
Author(s):  
Yafei Yuan ◽  
Huaizhan Li ◽  
Haojie Zhang ◽  
Yiwei Zhang ◽  
Xuewei Zhang
Keyword(s):  
Integral Method ◽  
Large Scale ◽  
Surface Subsidence ◽  
Correct Selection ◽  
Land Resources ◽  
Subsidence Prediction ◽  
Probability Integral Method ◽  
Mining Conditions ◽  
Probability Integral ◽  
Prediction Parameters

The accurate prediction of mine surface subsidence is directly related to the reuse area of land resources. Currently, the probability integral method is the most extensive method of surface subsidence prediction in China. However, its prediction precision largely depends on the accuracy of the selected parameters. When the mining area lacks measured data, or the geological and mining conditions change, particularly for large-scale surface subsidence prediction, the reliability of the prediction of surface subsidence is poor. Moreover, there is a lack of a systematic summary of the correct selection of prediction parameters. Based on this, the paper systematically investigated the influence of geological and mining conditions on the prediction parameters of the probability integral method. The research findings were obtained via theoretical analysis. The research outcomes can provide a scientific basis for properly selecting the prediction parameters of the probability integral method. Last, the results of this paper can be applied to predict the surface subsidence of Pei County in the north, laying the foundation for the integration of Pei County.

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