Subsidence prediction method of solid backfilling mining with different filling ratios under thick unconsolidated layers

Ma, Chunde; Li, Huaizhan; Zhang, Peipeng

doi:10.1007/s12517-017-3303-7

Cited by 22 publications

(19 citation statements)

References 18 publications

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“…For Surface. According to formula (17), to calculate the surface subsidence factor, we need to know the value of q j , k s , and n. Use formulas ( 18)- (20) to determine q j and formula (16) to calculate n. Generally speaking, k s is variety in different mine areas and does not suffer the effect of dip angle of coal seam and the rock lithology. For convenience in use, the theory lookup table calculated from formula ( 17) is shown in Table 3.…”

Section: Geofluidsmentioning

confidence: 99%

“…The exploitation of underground coal resources has accelerated the economic development, but at the same time, it has also brought about great economic [1][2][3], environmental, and ecological damage problems [4][5][6][7][8][9][10], such as water accumulation on the subsidence area, cracks on the surface, settlement of residential land, and house damage, etc. For a long time, scholars have been studying and analyzing the mining subsidence under general conditions from the aspects of subsidence law [11][12][13][14], subsidence mechanism [15,16], subsidence prediction [17][18][19], subsidence control method [20,21] and obtained many research results, which have been applied in the field.…”

Section: Introductionmentioning

confidence: 99%

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

Yan

Liu

et al. 2021

Geofluids

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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.

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Section: Geofluidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Yan

Liu

et al. 2021

Geofluids

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“…An AutoCad 'Lisp' program written by Lunder at the Noranda Technology Centre (NTC) automatically calculates radius factor values for any point on a surface using any angular increment [71]. The program recognizes the presence of a pillar or raise and calculates the ERF as a replacement for HR (Equation (27)).…”

Section: Support Designmentioning

confidence: 99%

Stability Analyses and Cable Bolt Support Design for A Deep Large-Span Stope at the Hongtoushan Mine, China

Zhao

Zhang

et al. 2019

Sustainability

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This study presents stability analyses and a cable bolt support design for a typical deep large-span stope (1-1# stope) at the Hongtoushan mine in China, using an integrated empirical and numerical method. Detailed field work including quantification of joint distribution and surface quality, along with laboratory test on intact rock samples, were performed to obtain the geotechnical properties of rock masses. The rock mass of the 1-1# stope was characterized by rock mass rating (RMR), rock mass quality (Q), and geological strength index (GSI), and then the modulus, peak strength, cohesive strength, and internal friction angle of the rock mass were estimated. The stability of the stope was then evaluated by empirical (RMR, stability graph) and numerical approaches (limit equilibrium analyses with UNWEDGE and stress-strain analyses with FLAC3D), considering of the effects of rock mass quality, induced stress, and large-span. A cable bolt support system obtained from the empirical method, was then further analyzed using the FLAC3D and UNWEDGE codes. The results show that the maximum plastic zone thickness and vertical displacement at the stope roof decrease significantly and the safety factor of the unstable wedge block increases significantly after installing the cable bolt support systems recommended by the empirical method. Therefore, it is suggested that an integrated empirical and numerical method is used to obtain quantitative stability assessment and optimum cable bolt support design for deep large-span stope roofs.

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“…The probability integral method model is based on random medium theory. At present, it has become the most widely used prediction method for mining under buildings and industries (Dai et al 2010;Guo et al 2017;Ma et al 2017). Many years of practice have shown that the method's precise predictions of surface subsidence can fully meet engineering requirements (Guo 2013).…”

Section: Prediction Parameters and Surface Movement Observationmentioning

confidence: 99%

Analysis and Application of Backfill Mining in Thin Coal Seams for Preventing Building Damage

Bai¹,

Guo²,

Guo³

et al. 2019

JSM

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As coal resources trapped under surface buildings impede the efficient mining of coal seams and constrain the sustainable development of coal mines, a super-high-water backfill mining technique for preventing building damage was adopted. According to the established model of equivalent mining height (EMH), the influence factors were obtained. Afterwards, a measurement to improve the backfill rate was analyzed based on the slurry fluidity. Meanwhile, the relationships between the backfill body compression and its influence factors were studied by numerical simulation. In this way, a more accurate EMH was obtained. To prove this trial practicable, the obtained EMH and the probability integral method were used to predict the surface movement and deformation of the C7401 panel. At the same time, a surface movement observation was set up to observe the mining influence on the surface ground and buildings. The comparison between the predicted and measured data indicated that they corresponded well with each other, the surface movement and deformation values were all controlled within grade I, which protected the surface buildings. Moreover, by applying the super-high-water backfill mining technique, not only building damage has been controlled within Grade I, but the impact on the ecological environment has been reduced also, such as surface subsidence, groundwater leakage and groundwater lowering, which is in harmony with the construction of green mines. The practical trial can provide a reference for mining under similar conditions and is vital for the sustainable development of the mining industry and economic growth.

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Subsidence prediction method of solid backfilling mining with different filling ratios under thick unconsolidated layers

Cited by 22 publications

References 18 publications

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

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

Stability Analyses and Cable Bolt Support Design for A Deep Large-Span Stope at the Hongtoushan Mine, China

Analysis and Application of Backfill Mining in Thin Coal Seams for Preventing Building Damage

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