Study on law and prediction of surface movement and deformation in mountain area under repeated mining of shallow coal seam

Li, Li; Kong, Dezhong; Liu, Qinzhi; Cai, Hongcai; Chen, Long

doi:10.1007/s10064-023-03105-7

Cited by 8 publications

(1 citation statement)

References 39 publications

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“…The algorithm leverages geological data from the mining area to determine the initial exploration values of the modular vector method. This study first verifies the accuracy and robustness of the improved modular vector method in the inversion of anticipated parameters within the probability integral method through simulation experiments conducted under geological conditions characteristic of shallow-buried coal seams [31]. Subsequently, an illustrative analysis is conducted, focusing on a specific working face within the Shendong mining area.…”

Section: Introductionmentioning

confidence: 80%

Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

Chai,

Xu,

Guan

et al. 2023

Applied Sciences

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In this study conducted in the Shendong mining area, this paper tackles the challenge of estimating mining subsidence parameters in the absence of empirical values. The study employs a tailored pattern recognition method specifically designed for mining subsidence in a specific working face. The goal is to determine a globally approximate optimal solution for these parameters. Subsequently, this study utilizes the approximate optimal solution as an initial exploration value and harnesses the modular vector method to obtain stable, accurate, optimal solutions for the parameters. The results of the study demonstrate the effectiveness of the improved modular vector method. In simulation tests involving the subsidence coefficient, the main influence angle tangent value, the propagation angle of mining influence, and the deviation of the inflection point, the relative errors do not exceed 1.2%, 1.9%, 1.7%, and 7.9%, respectively. Furthermore, when subjected to random errors of less than 20 mm, the relative errors for each parameter remain below 2%. Even in conditions with 200 mm gross error, the relative error for each parameter does not exceed 5.1%, indicating high precision. In an engineering example, the root mean square error of the improved modular vector method’s fitting result is 64.31 mm, constituting a mere 1.79% of the maximum subsidence value. This performance surpasses that of the genetic algorithm (70.47 mm), particle swarm algorithm (72.82 mm), and simulated annealing algorithm (75.45 mm). Notably, the improved modular vector method exhibits superior stability and reduced reliance on the quantity of measured values compared to the three aforementioned algorithms. The inversion analysis of predicted parameters based on the improved modular vector method, coupled with the probability integral method, holds practical significance for enhancing the accuracy of mining subsidence prediction.

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Section: Introductionmentioning

confidence: 80%

Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

Chai,

Xu,

Guan

et al. 2023

Applied Sciences

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Study on the destabilisation mechanism of karst mountains under the coupled action of mining and rainfall

Chen,

Kong,

et al. 2024

Bull Eng Geol Environ

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Study on the failure characteristics of overburden and the evolution law of seepage field in deep buried thick coal seam under aquifers

Li,

Lei,

Wang

et al. 2023

Nat Hazards

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Water inrush at roof area seriously affects the safety of coal mines. The characteristics of aquifer and aquiclude at Wutongzhuang Mine are analyzed. Considering the effect of seepage field, a formula for calculating the height of water-conducting fractured zone (HWCFZ) in deep buried thick coal seam mining is derived. A damage-seepage coupling model with rock porosity and damage factor as independent variables is established. FLAC3D is re-developed by using FISH language, and the fluidsolid coupling calculation model of deep buried thick coal seam mining is established. The evolution law of the plastic zone, seepage field and water-conducting fractured zone (WCFZ)of the overburden in the gob with the advancement of the working face is analyzed, the main conclusions are as follows:With the continuous advancement of the working face, the distribution shape of the plastic zone and seepage field has changed from a trapezoidal to a saddle shape; when the working face reaches full mining, the maximum heights of the caving zone, fractured zone and HWCFZ are 24m, 113m, and 123 m, respectively; the 50m-thick sandy shale aquifer is penetrated by the WCFZ, and the WCFZ on the side of the working face above the gob is the main water channel when the working face is advanced to 220m. The on-site monitoring results showed that the 50m-thick sandy shale is successively connected by the WCFZ. The results of comprehensive research showed that the HWCFZ cannot be calculated by traditional formulas when mining deep buried thick coal seams.

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Study on law and prediction of surface movement and deformation in mountain area under repeated mining of shallow coal seam

Cited by 8 publications

References 39 publications

Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

Research on Mining Subsidence Prediction Parameter Inversion Based on Improved Modular Vector Method

Study on the destabilisation mechanism of karst mountains under the coupled action of mining and rainfall

Study on the failure characteristics of overburden and the evolution law of seepage field in deep buried thick coal seam under aquifers

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